{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\danae\OneDrive\Documents\ASUS Documents\Research Ideas\graduate student satisfaction survey\replication log 031423.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}14 Mar 2023, 09:37:46

{com}. do "C:\Users\danae\AppData\Local\Temp\STD5c10_000000.tmp"
{txt}
{com}. ***Descriptive data***
. 
. *Methods section
. 
. *271 responses/205 complete
. tab Finished

   {txt}Finished {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         66       24.35       24.35
{txt}          1 {c |}{res}        205       75.65      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        271      100.00
{txt}
{com}. 
. *49 universities, missing Rochester.
. tab program

                                {txt}program {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
                                Arizona {c |}{res}          6        2.21        2.21
{txt}                       Brown University {c |}{res}          4        1.48        3.69
{txt}                                Chicago {c |}{res}          5        1.85        5.54
{txt}                    Columbia University {c |}{res}          6        2.21        7.75
{txt}                     Cornell University {c |}{res}         11        4.06       11.81
{txt}                        Duke University {c |}{res}          5        1.85       13.65
{txt}                       Emory University {c |}{res}          1        0.37       14.02
{txt}               Florida State University {c |}{res}          3        1.11       15.13
{txt}                                     GW {c |}{res}         10        3.69       18.82
{txt}                  Georgetown University {c |}{res}          1        0.37       19.19
{txt}                                Georgia {c |}{res}          6        2.21       21.40
{txt}                     Harvard University {c |}{res}         10        3.69       25.09
{txt}         Indiana University Bloomington {c |}{res}          1        0.37       25.46
{txt}                                   Iowa {c |}{res}          2        0.74       26.20
{txt}                John Hopkins University {c |}{res}          2        0.74       26.94
{txt}                                    MIT {c |}{res}          7        2.58       29.52
{txt}                               Maryland {c |}{res}          2        0.74       30.26
{txt}              Michigan State University {c |}{res}          4        1.48       31.73
{txt}                              Minnesota {c |}{res}          3        1.11       32.84
{txt}                    New York University {c |}{res}          5        1.85       34.69
{txt}                Northwestern University {c |}{res}         10        3.69       38.38
{txt}                             Notre Dame {c |}{res}          4        1.48       39.85
{txt}                  Ohio State University {c |}{res}          2        0.74       40.59
{txt}          Pennsylvania State University {c |}{res}          2        0.74       41.33
{txt}                                   Pitt {c |}{res}          5        1.85       43.17
{txt}                   Princeton University {c |}{res}         12        4.43       47.60
{txt}                        Rice University {c |}{res}          2        0.74       48.34
{txt}                     Rutgers University {c |}{res}          4        1.48       49.82
{txt}                    Stanford University {c |}{res}         22        8.12       57.93
{txt}                 Stony Brook University {c |}{res}          2        0.74       58.67
{txt}                    Syracuse University {c |}{res}          8        2.95       61.62
{txt}                              Texas A&M {c |}{res}          1        0.37       61.99
{txt}                            UC Berkeley {c |}{res}          3        1.11       63.10
{txt}                             UC Boulder {c |}{res}          4        1.48       64.58
{txt}                               UC Davis {c |}{res}          2        0.74       65.31
{txt}                              UC Irvine {c |}{res}          6        2.21       67.53
{txt}                           UC Riverside {c |}{res}          5        1.85       69.37
{txt}                           UC San Diego {c |}{res}          3        1.11       70.48
{txt}                                   UCLA {c |}{res}          5        1.85       72.32
{txt}                                  UMich {c |}{res}          5        1.85       74.17
{txt}                        UNC Chapel Hill {c |}{res}         20        7.38       81.55
{txt}                                  UPenn {c |}{res}          4        1.48       83.03
{txt}                               UTAustin {c |}{res}         10        3.69       86.72
{txt}                                    UVA {c |}{res}          6        2.21       88.93
{txt}University of Illinois Urbana-Champaign {c |}{res}          1        0.37       89.30
{txt}               University of Washington {c |}{res}          1        0.37       89.67
{txt}                  Vanderbilt University {c |}{res}          4        1.48       91.14
{txt}                                  WUSTL {c |}{res}          4        1.48       92.62
{txt}                              Wisconsin {c |}{res}          4        1.48       94.10
{txt}                        Yale University {c |}{res}         16        5.90      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}        271      100.00
{txt}
{com}. 
. *Table 1 Demographics: 
. *Race
. tab race

          {txt}race {c |}      Freq.     Percent        Cum.
{hline 15}{c +}{hline 35}
         Asian {c |}{res}         37       13.65       13.65
{txt}         Black {c |}{res}          8        2.95       16.61
{txt}        Latinx {c |}{res}         31       11.44       28.04
{txt}Middle Eastern {c |}{res}          8        2.95       31.00
{txt}         Other {c |}{res}         25        9.23       40.22
{txt}         White {c |}{res}        162       59.78      100.00
{txt}{hline 15}{c +}{hline 35}
         Total {c |}{res}        271      100.00
{txt}
{com}. 
. *Gender
. tab gender

     {txt}gender {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        man {c |}{res}        118       43.54       43.54
{txt}      trans {c |}{res}         14        5.17       48.71
{txt}      woman {c |}{res}        139       51.29      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        271      100.00
{txt}
{com}. 
. *Age
. tab PleasenoteyourageAge

{txt}Please note {c |}
your age. - {c |}
        Age {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         22 {c |}{res}          6        2.68        2.68
{txt}         23 {c |}{res}          5        2.23        4.91
{txt}         24 {c |}{res}         15        6.70       11.61
{txt}         25 {c |}{res}         26       11.61       23.21
{txt}         26 {c |}{res}         26       11.61       34.82
{txt}         27 {c |}{res}         36       16.07       50.89
{txt}         28 {c |}{res}         28       12.50       63.39
{txt}         29 {c |}{res}         16        7.14       70.54
{txt}         30 {c |}{res}         17        7.59       78.12
{txt}         31 {c |}{res}         12        5.36       83.48
{txt}         32 {c |}{res}         11        4.91       88.39
{txt}         33 {c |}{res}          7        3.13       91.52
{txt}         34 {c |}{res}          6        2.68       94.20
{txt}         35 {c |}{res}          7        3.13       97.32
{txt}         36 {c |}{res}          2        0.89       98.21
{txt}         37 {c |}{res}          1        0.45       98.66
{txt}         38 {c |}{res}          1        0.45       99.11
{txt}         44 {c |}{res}          1        0.45       99.55
{txt}         45 {c |}{res}          1        0.45      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        224      100.00
{txt}
{com}. 
. *First gen
. tab Areyouafirstgenerationstude

  {txt}Are you a {c |}
      first {c |}
 generation {c |}
student?
(a {c |}
    student {c |}
      whose {c |}
parents did {c |}
        not {c |}
complete a  {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        205       78.24       78.24
{txt}        Yes {c |}{res}         57       21.76      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        262      100.00
{txt}
{com}. 
. *LGBTQ+ 31%
. tab DoyouidentifyasLGTBQ

  {txt}Do you identify {c |}
       as LGTBQ+? {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
               No {c |}{res}        179       66.30       66.30
{txt}Prefer not to say {c |}{res}          8        2.96       69.26
{txt}              Yes {c |}{res}         83       30.74      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}        270      100.00
{txt}
{com}. 
. *Unionized 45%
. tab Doesyouruniversityhaveagrad

  {txt}Does your {c |}
 university {c |}
     have a {c |}
   graduate {c |}
    student {c |}
     union? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        133       54.51       54.51
{txt}        Yes {c |}{res}        111       45.49      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        244      100.00
{txt}
{com}. 
. *Results section
. 
. *Funding
. *42% always, 31% usually, 12% rarely/never
. tab Doesyourdepartmentâsfinanci

  {txt}Does your {c |}
 department {c |}
       âs {c |}
  financial {c |}
aid package {c |}
    provide {c |}
     enough {c |}
money in an {c |}
     averag {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
     Always {c |}{res}        102       41.80       41.80
{txt}      Never {c |}{res}         15        6.15       47.95
{txt}     Rarely {c |}{res}         15        6.15       54.10
{txt}  Sometimes {c |}{res}         36       14.75       68.85
{txt}    Usually {c |}{res}         76       31.15      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        244      100.00
{txt}
{com}. 
. *90% have 5+ years of gauranteed funding
. tab Howmanyyearsoffundingdidyo

   {txt}How many {c |}
   years of {c |}
funding did {c |}
       your {c |}
    program {c |}
  guarantee {c |}
    in your {c |}
   contract {c |}
 when you f {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}          2        0.82        0.82
{txt}          1 {c |}{res}          2        0.82        1.63
{txt}          2 {c |}{res}          5        2.04        3.67
{txt}          3 {c |}{res}          3        1.22        4.90
{txt}          4 {c |}{res}         11        4.49        9.39
{txt}          5 {c |}{res}        207       84.49       93.88
{txt}More than 5 {c |}{res}         15        6.12      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        245      100.00
{txt}
{com}. 
. *58% have summer funding
. tab Doesyourcontractguaranteesum

  {txt}Does your {c |}
   contract {c |}
  guarantee {c |}
     summer {c |}
   funding? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        103       42.21       42.21
{txt}        Yes {c |}{res}        141       57.79      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        244      100.00
{txt}
{com}. 
. *Outside work: 31%
. tab Haveyouhadtoworkoutsideyou

       {txt}Have you had to work {c |}
 outside your department to {c |}
   make an adequate income? {c |}      Freq.     Percent        Cum.
{hline 28}{c +}{hline 35}
                         No {c |}{res}        154       69.37       69.37
{txt} Yes, in another department {c |}{res}         20        9.01       78.38
{txt}Yes, outside the university {c |}{res}         48       21.62      100.00
{txt}{hline 28}{c +}{hline 35}
                      Total {c |}{res}        222      100.00
{txt}
{com}. 
. *Fair and transparent: 29%
. tab Doyoufeelfundingdecisionsin

   {txt}Do you feel {c |}
       funding {c |}
  decisions in {c |}
          your {c |}
department are {c |}
   made fairly {c |}
           and {c |}
   transparent {c |}      Freq.     Percent        Cum.
{hline 15}{c +}{hline 35}
            No {c |}{res}         72       32.58       32.58
{txt}To some degree {c |}{res}         86       38.91       71.49
{txt}           Yes {c |}{res}         63       28.51      100.00
{txt}{hline 15}{c +}{hline 35}
         Total {c |}{res}        221      100.00
{txt}
{com}. 
. *Harassment
. *Economic exploitation: 45/20% yes
. tab Haveyouexperiencedexploitativ

   {txt}Have you {c |}
experienced {c |}
exploitativ {c |}
    e labor {c |}
  practices {c |}
    in your {c |}
department? {c |}
 (For examp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        178       79.82       79.82
{txt}        Yes {c |}{res}         45       20.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        223      100.00
{txt}
{com}. 
. *Sexual harassment: 19/9% yes
. tab sexharass

   {txt}Have you {c |}
experienced {c |}
     sexual {c |}
 harassment {c |}
    in your {c |}
department? {c |}
       (For {c |}
   example, {c |}
    inappro {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        195       91.12       91.12
{txt}        Yes {c |}{res}         19        8.88      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        214      100.00
{txt}
{com}. 
. *Racism: 40/19% yes
. tab racism

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        170       80.95       80.95
{txt}        Yes {c |}{res}         40       19.05      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        210      100.00
{txt}
{com}. 
. *Homophobia: 13/6% yes
. tab homophobia

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        199       93.87       93.87
{txt}        Yes {c |}{res}         13        6.13      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        212      100.00
{txt}
{com}. 
. *13% of LGBTQ people experienced homophobia
. tab homophobia if DoyouidentifyasLGTBQ=="Yes"

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         60       86.96       86.96
{txt}        Yes {c |}{res}          9       13.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         69      100.00
{txt}
{com}. 
. *Table 2 descriptive statistics
. *Labor:
. tab Haveyouexperiencedexploitativ if race == "White" & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
exploitativ {c |}
    e labor {c |}
  practices {c |}
    in your {c |}
department? {c |}
 (For examp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         53       86.89       86.89
{txt}        Yes {c |}{res}          8       13.11      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         61      100.00
{txt}
{com}. tab Haveyouexperiencedexploitativ if race == "White" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
exploitativ {c |}
    e labor {c |}
  practices {c |}
    in your {c |}
department? {c |}
 (For examp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         54       76.06       76.06
{txt}        Yes {c |}{res}         17       23.94      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         71      100.00
{txt}
{com}. tab Haveyouexperiencedexploitativ if gender == "trans" 

   {txt}Have you {c |}
experienced {c |}
exploitativ {c |}
    e labor {c |}
  practices {c |}
    in your {c |}
department? {c |}
 (For examp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}          8       61.54       61.54
{txt}        Yes {c |}{res}          5       38.46      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         13      100.00
{txt}
{com}. tab Haveyouexperiencedexploitativ if race == "Asian" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
exploitativ {c |}
    e labor {c |}
  practices {c |}
    in your {c |}
department? {c |}
 (For examp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         12       66.67       66.67
{txt}        Yes {c |}{res}          6       33.33      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         18      100.00
{txt}
{com}. tab Haveyouexperiencedexploitativ if race == "Latinx" & gender == "man"

   {txt}Have you {c |}
experienced {c |}
exploitativ {c |}
    e labor {c |}
  practices {c |}
    in your {c |}
department? {c |}
 (For examp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}          9       81.82       81.82
{txt}        Yes {c |}{res}          2       18.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         11      100.00
{txt}
{com}. tab Haveyouexperiencedexploitativ if race == "Latinx" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
exploitativ {c |}
    e labor {c |}
  practices {c |}
    in your {c |}
department? {c |}
 (For examp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         13       92.86       92.86
{txt}        Yes {c |}{res}          1        7.14      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         14      100.00
{txt}
{com}. tab Haveyouexperiencedexploitativ if POC == 1 & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
exploitativ {c |}
    e labor {c |}
  practices {c |}
    in your {c |}
department? {c |}
 (For examp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         26       86.67       86.67
{txt}        Yes {c |}{res}          4       13.33      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         30      100.00
{txt}
{com}. tab Haveyouexperiencedexploitativ if POC == 1 & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
exploitativ {c |}
    e labor {c |}
  practices {c |}
    in your {c |}
department? {c |}
 (For examp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         37       77.08       77.08
{txt}        Yes {c |}{res}         11       22.92      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         48      100.00
{txt}
{com}. 
. *Sexual harassment
. tab sexharass if race == "White" & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
     sexual {c |}
 harassment {c |}
    in your {c |}
department? {c |}
       (For {c |}
   example, {c |}
    inappro {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         56       98.25       98.25
{txt}        Yes {c |}{res}          1        1.75      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         57      100.00
{txt}
{com}. tab sexharass if race == "White" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
     sexual {c |}
 harassment {c |}
    in your {c |}
department? {c |}
       (For {c |}
   example, {c |}
    inappro {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         60       88.24       88.24
{txt}        Yes {c |}{res}          8       11.76      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         68      100.00
{txt}
{com}. tab sexharass if gender == "trans" 

   {txt}Have you {c |}
experienced {c |}
     sexual {c |}
 harassment {c |}
    in your {c |}
department? {c |}
       (For {c |}
   example, {c |}
    inappro {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         10       71.43       71.43
{txt}        Yes {c |}{res}          4       28.57      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         14      100.00
{txt}
{com}. tab sexharass if race == "Asian" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
     sexual {c |}
 harassment {c |}
    in your {c |}
department? {c |}
       (For {c |}
   example, {c |}
    inappro {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         14       82.35       82.35
{txt}        Yes {c |}{res}          3       17.65      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         17      100.00
{txt}
{com}. tab sexharass if race == "Latinx" & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
     sexual {c |}
 harassment {c |}
    in your {c |}
department? {c |}
       (For {c |}
   example, {c |}
    inappro {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         11      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         11      100.00
{txt}
{com}. tab sexharass if race == "Latinx" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
     sexual {c |}
 harassment {c |}
    in your {c |}
department? {c |}
       (For {c |}
   example, {c |}
    inappro {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         11       91.67       91.67
{txt}        Yes {c |}{res}          1        8.33      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         12      100.00
{txt}
{com}. tab sexharass if POC == 1 & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
     sexual {c |}
 harassment {c |}
    in your {c |}
department? {c |}
       (For {c |}
   example, {c |}
    inappro {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         28       93.33       93.33
{txt}        Yes {c |}{res}          2        6.67      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         30      100.00
{txt}
{com}. tab sexharass if POC == 1 & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
     sexual {c |}
 harassment {c |}
    in your {c |}
department? {c |}
       (For {c |}
   example, {c |}
    inappro {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         41       91.11       91.11
{txt}        Yes {c |}{res}          4        8.89      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         45      100.00
{txt}
{com}. 
. *Racism
. tab racism if race == "White" & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         55      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         55      100.00
{txt}
{com}. tab racism if race == "White" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         63       94.03       94.03
{txt}        Yes {c |}{res}          4        5.97      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         67      100.00
{txt}
{com}. tab racism if gender == "trans" & top50==1

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         11       78.57       78.57
{txt}        Yes {c |}{res}          3       21.43      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         14      100.00
{txt}
{com}. tab racism if race == "Asian" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}          7       43.75       43.75
{txt}        Yes {c |}{res}          9       56.25      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         16      100.00
{txt}
{com}. tab racism if race == "Latinx" & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         10       90.91       90.91
{txt}        Yes {c |}{res}          1        9.09      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         11      100.00
{txt}
{com}. tab racism if race == "Latinx" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}          8       66.67       66.67
{txt}        Yes {c |}{res}          4       33.33      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         12      100.00
{txt}
{com}. tab racism if POC == 1 & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         18       60.00       60.00
{txt}        Yes {c |}{res}         12       40.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         30      100.00
{txt}
{com}. tab racism if POC == 1 & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         23       52.27       52.27
{txt}        Yes {c |}{res}         21       47.73      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         44      100.00
{txt}
{com}. 
. *Homophobia
. tab homophobia if race == "White" & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         55       98.21       98.21
{txt}        Yes {c |}{res}          1        1.79      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         56      100.00
{txt}
{com}. tab homophobia if race == "White" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         62       92.54       92.54
{txt}        Yes {c |}{res}          5        7.46      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         67      100.00
{txt}
{com}. tab homophobia if gender == "trans" 

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}          8       57.14       57.14
{txt}        Yes {c |}{res}          6       42.86      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         14      100.00
{txt}
{com}. tab homophobia if race == "Asian" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         16       94.12       94.12
{txt}        Yes {c |}{res}          1        5.88      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         17      100.00
{txt}
{com}. tab homophobia if race == "Latinx" & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         11      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         11      100.00
{txt}
{com}. tab homophobia if race == "Latinx" & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         12      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         12      100.00
{txt}
{com}. tab homophobia if POC == 1 & gender == "man" 

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         30      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         30      100.00
{txt}
{com}. tab homophobia if POC == 1 & gender == "woman" 

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         44       97.78       97.78
{txt}        Yes {c |}{res}          1        2.22      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         45      100.00
{txt}
{com}. 
. *Any harassment
. *gen harassment = 0
. *replace harassment = 1 if sexharass == 2
. *replace harassment = 1 if racism == 2
. *replace harassment = 1 if homophobia == 2
. *replace harassment = 1 if exploitation == 2
. *29% report at least one form
. tab harassment

 {txt}harassment {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        193       71.22       71.22
{txt}          1 {c |}{res}         78       28.78      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        271      100.00
{txt}
{com}. 
. *How likely are you to report?
. tab Howlikelyareyoutoreportaf

   {txt}How likely {c |}
   are you to {c |}
     report a {c |}
      faculty {c |}
       member {c |}
   engaged in {c |}
 gender-based {c |}
   or sexual  {c |}      Freq.     Percent        Cum.
{hline 14}{c +}{hline 35}
       Likely {c |}{res}         86       40.57       40.57
{txt}      Neutral {c |}{res}         20        9.43       50.00
{txt}     Unlikely {c |}{res}         14        6.60       56.60
{txt}  Very likely {c |}{res}         82       38.68       95.28
{txt}Very unlikely {c |}{res}         10        4.72      100.00
{txt}{hline 14}{c +}{hline 35}
        Total {c |}{res}        212      100.00
{txt}
{com}. 
. *Experiment
. oneway ReportMisconduct experiment, tabulate

            {txt}{c |}     Summary of ReportMisconduct
 experiment {c |}        Mean   Std. dev.       Freq.
{hline 12}{c +}{hline 36}
          1 {c |}  {res} 7.6285714   2.5376666          70
  {txt}        2 {c |}  {res} 7.1408451   2.3742414          71
  {txt}        3 {c |}  {res} 6.6666667   2.6215547          69
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res}  7.147619    2.530601         210

                        {txt}Analysis of variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 32.1560698      2   16.0780349      2.55     0.0807
{txt} Within groups     {res} 1306.26774    207   6.31047217
{txt}{hline 72}
    Total          {res} 1338.42381    209   6.40394167

{txt}Bartlett's equal-variances test: chi2({res}2{txt}) = {res}  0.6940{txt}    Prob>chi2 = {res}0.707
{txt}
{com}. pwmean ReportMisconduct, over(experiment) mcompare(tukey) effects

{txt}Pairwise comparisons of means with equal variances

{txt}{p2colset 1 7 7 2}{...}
{p2col:Over:}{res:experiment}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 13}
{col 14}{c |}    Number of
{col 14}{c |}  comparisons
{hline 13}{c +}{hline 13}
{space 2}experiment {c |}{col 14}{res}{space 1}           3
{txt}{hline 13}{c BT}{hline 13}

{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 37}        T{col 46}ukey{col 54}            T{col 67}ukey
{col 1}ReportMisc~t{col 14}{c |}   Contrast{col 26}   Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}experiment {c |}
{space 5}2 vs 1  {c |}{col 14}{res}{space 2}-.4877264{col 26}{space 2} .4231188{col 37}{space 1}   -1.15{col 46}{space 3}0.483{col 54}{space 4}-1.486582{col 67}{space 3} .5111288
{txt}{space 5}3 vs 1  {c |}{col 14}{res}{space 2}-.9619048{col 26}{space 2} .4261522{col 37}{space 1}   -2.26{col 46}{space 3}0.064{col 54}{space 4}-1.967921{col 67}{space 3} .0441115
{txt}{space 5}3 vs 2  {c |}{col 14}{res}{space 2}-.4741784{col 26}{space 2} .4246599{col 37}{space 1}   -1.12{col 46}{space 3}0.505{col 54}{space 4}-1.476672{col 67}{space 3} .5283148
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *would the dept do something if you filed a complaint?
. tab Ifyoufileaharassmentcomplai

{txt}If you file {c |}
          a {c |}
 harassment {c |}
 complaint, {c |}
     do you {c |}
 trust that {c |}
       your {c |}
 department {c |}
 will do so {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Maybe {c |}{res}         79       37.26       37.26
{txt}         No {c |}{res}         73       34.43       71.70
{txt}        Yes {c |}{res}         60       28.30      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        212      100.00
{txt}
{com}. *Gendered and racialized responses
. tab Ifyoufileaharassmentcomplai gender 

    {txt}If you {c |}
    file a {c |}
harassment {c |}
complaint, {c |}
    do you {c |}
trust that {c |}
      your {c |}
department {c |}              gender
will do so {c |}       man      trans      woman {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
     Maybe {c |}{res}        32          3         44 {txt}{c |}{res}        79 
{txt}        No {c |}{res}        20          8         45 {txt}{c |}{res}        73 
{txt}       Yes {c |}{res}        34          3         23 {txt}{c |}{res}        60 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        86         14        112 {txt}{c |}{res}       212 
{txt}
{com}. tab Ifyoufileaharassmentcomplai race 

    {txt}If you {c |}
    file a {c |}
harassment {c |}
complaint, {c |}
    do you {c |}
trust that {c |}
      your {c |}
department {c |}                               race
will do so {c |}     Asian      Black     Latinx  Middle ..      Other      White {c |}     Total
{hline 11}{c +}{hline 66}{c +}{hline 10}
     Maybe {c |}{res}        11          4         10          4          5         45 {txt}{c |}{res}        79 
{txt}        No {c |}{res}        13          2          8          3          5         42 {txt}{c |}{res}        73 
{txt}       Yes {c |}{res}         5          0          7          1          3         44 {txt}{c |}{res}        60 
{txt}{hline 11}{c +}{hline 66}{c +}{hline 10}
     Total {c |}{res}        29          6         25          8         13        131 {txt}{c |}{res}       212 
{txt}
{com}. *54% say yes, 17% no and 29% maybe
. tab Ifyoufileaharassmentcomplai if race == "White" & gender == "man"

{txt}If you file {c |}
          a {c |}
 harassment {c |}
 complaint, {c |}
     do you {c |}
 trust that {c |}
       your {c |}
 department {c |}
 will do so {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Maybe {c |}{res}         16       28.57       28.57
{txt}         No {c |}{res}         10       17.86       46.43
{txt}        Yes {c |}{res}         30       53.57      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         56      100.00
{txt}
{com}. 
. *Heard of homophobia: 21%
. tab BJ

   {txt}Have you {c |}
   heard of {c |}
      other {c |}
   graduate {c |}
   students {c |}
experiencin {c |}
          g {c |}
 homophobia {c |}
    in your {c |}
     depart {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        167       79.15       79.15
{txt}        Yes {c |}{res}         44       20.85      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        211      100.00
{txt}
{com}. *Experienced homophobia:
. tab homophobia

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        199       93.87       93.87
{txt}        Yes {c |}{res}         13        6.13      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        212      100.00
{txt}
{com}. *Experienced homophobia and LGBTQ:
. tab homophobia if DoyouidentifyasLGTBQ=="Yes"

   {txt}Have you {c |}
experienced {c |}
 homophobia {c |}
    in your {c |}
department? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         60       86.96       86.96
{txt}        Yes {c |}{res}          9       13.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         69      100.00
{txt}
{com}. 
. *Racism
. *have you heard of racism: 59%
. tab BP 

   {txt}Have you {c |}
   heard of {c |}
      other {c |}
   graduate {c |}
   students {c |}
experiencin {c |}
   g racial {c |}
 harassment {c |}
    or abus {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         86       40.95       40.95
{txt}        Yes {c |}{res}        124       59.05      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        210      100.00
{txt}
{com}. 
. *have you? Yes 40/19%
. tab racism

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        170       80.95       80.95
{txt}        Yes {c |}{res}         40       19.05      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        210      100.00
{txt}
{com}. 
. *45% of POC students
. tab racism if POC == 1

   {txt}Have you {c |}
experienced {c |}
     racial {c |}
 harassment {c |}
or abuse in {c |}
       your {c |}
department? {c |}
       (For {c |}
    example {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}         44       55.00       55.00
{txt}        Yes {c |}{res}         36       45.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         80      100.00
{txt}
{com}. 
. *Will your department do something if you file a complaint? Very white yeses
. tab Ifyoufilearacialharassment 

{txt}If you file {c |}
   a racial {c |}
 harassment {c |}
 complaint, {c |}
     do you {c |}
 trust that {c |}
       your {c |}
 department {c |}
        wil {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Maybe {c |}{res}         90       42.86       42.86
{txt}         No {c |}{res}         60       28.57       71.43
{txt}        Yes {c |}{res}         60       28.57      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        210      100.00
{txt}
{com}. tab Ifyoufilearacialharassment race 

    {txt}If you {c |}
    file a {c |}
    racial {c |}
harassment {c |}
complaint, {c |}
    do you {c |}
trust that {c |}
      your {c |}
department {c |}                               race
       wil {c |}     Asian      Black     Latinx  Middle ..      Other      White {c |}     Total
{hline 11}{c +}{hline 66}{c +}{hline 10}
     Maybe {c |}{res}        13          2         11          3          4         57 {txt}{c |}{res}        90 
{txt}        No {c |}{res}        12          3          7          3          5         30 {txt}{c |}{res}        60 
{txt}       Yes {c |}{res}         4          1          7          2          4         42 {txt}{c |}{res}        60 
{txt}{hline 11}{c +}{hline 66}{c +}{hline 10}
     Total {c |}{res}        29          6         25          8         13        129 {txt}{c |}{res}       210 
{txt}
{com}. tab Ifyoufileaharassmentcomplai if race == "White" & gender == "man"

{txt}If you file {c |}
          a {c |}
 harassment {c |}
 complaint, {c |}
     do you {c |}
 trust that {c |}
       your {c |}
 department {c |}
 will do so {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Maybe {c |}{res}         16       28.57       28.57
{txt}         No {c |}{res}         10       17.86       46.43
{txt}        Yes {c |}{res}         30       53.57      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         56      100.00
{txt}
{com}. 
. *Advisor
. summarize SatisfactionOnascaleofnot

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
Satisfacti~t {c |}{res}        201      7.9801    2.328004          1         10
{txt}
{com}. *by gender and race
. tab SatisfactionOnascaleofnot gender

{txt}Satisfacti {c |}
 on - On a {c |}
  scale of {c |}
not at all {c |}
supportive {c |}
    (1) to {c |}
      very {c |}
supportive {c |}              gender
    (10),  {c |}       man      trans      woman {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
         1 {c |}{res}         0          0          2 {txt}{c |}{res}         2 
{txt}         2 {c |}{res}         4          0          3 {txt}{c |}{res}         7 
{txt}         3 {c |}{res}         0          0          1 {txt}{c |}{res}         1 
{txt}         4 {c |}{res}         5          2          7 {txt}{c |}{res}        14 
{txt}         5 {c |}{res}         3          1          4 {txt}{c |}{res}         8 
{txt}         6 {c |}{res}         5          1          7 {txt}{c |}{res}        13 
{txt}         7 {c |}{res}        10          2         10 {txt}{c |}{res}        22 
{txt}         8 {c |}{res}        10          2         14 {txt}{c |}{res}        26 
{txt}         9 {c |}{res}        10          1         20 {txt}{c |}{res}        31 
{txt}        10 {c |}{res}        33          4         40 {txt}{c |}{res}        77 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        80         13        108 {txt}{c |}{res}       201 
{txt}
{com}. tab SatisfactionOnascaleofnot race

{txt}Satisfacti {c |}
 on - On a {c |}
  scale of {c |}
not at all {c |}
supportive {c |}
    (1) to {c |}
      very {c |}
supportive {c |}                               race
    (10),  {c |}     Asian      Black     Latinx  Middle ..      Other      White {c |}     Total
{hline 11}{c +}{hline 66}{c +}{hline 10}
         1 {c |}{res}         0          0          1          0          0          1 {txt}{c |}{res}         2 
{txt}         2 {c |}{res}         2          0          0          1          0          4 {txt}{c |}{res}         7 
{txt}         3 {c |}{res}         0          0          0          0          1          0 {txt}{c |}{res}         1 
{txt}         4 {c |}{res}         1          1          0          1          0         11 {txt}{c |}{res}        14 
{txt}         5 {c |}{res}         2          1          1          0          1          3 {txt}{c |}{res}         8 
{txt}         6 {c |}{res}         1          0          1          1          1          9 {txt}{c |}{res}        13 
{txt}         7 {c |}{res}         2          0          3          2          1         14 {txt}{c |}{res}        22 
{txt}         8 {c |}{res}         6          0          3          0          0         17 {txt}{c |}{res}        26 
{txt}         9 {c |}{res}         1          3          3          1          3         20 {txt}{c |}{res}        31 
{txt}        10 {c |}{res}        11          1         13          2          5         45 {txt}{c |}{res}        77 
{txt}{hline 11}{c +}{hline 66}{c +}{hline 10}
     Total {c |}{res}        26          6         25          8         12        124 {txt}{c |}{res}       201 
{txt}
{com}. 
. *Satisfaction*
. sum SatisfactionOnascaleofbur 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
Satisfacti~r {c |}{res}        207    6.396135    2.322867          1         10
{txt}
{com}. 
. *Correlation matrix*
. corr SatisfactionOnascaleofbur sexharass racism homophobia exploitation 
{txt}(obs=205)

             {c |} Satisf~r sexhar~s   racism homoph~a exploi~n
{hline 13}{c +}{hline 45}
Satisfacti~r {c |}{res}   1.0000
   {txt}sexharass {c |}{res}  -0.1688   1.0000
      {txt}racism {c |}{res}  -0.3647   0.0796   1.0000
  {txt}homophobia {c |}{res}  -0.1427   0.2424   0.1052   1.0000
{txt}exploitation {c |}{res}  -0.4205   0.2418   0.1851   0.3082   1.0000

{txt}
{com}. 
. **Regressions**
. 
. *Descriptives (in Appendix 3)
. summarize SatisfactionOnascaleofbur

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
Satisfacti~r {c |}{res}        207    6.396135    2.322867          1         10
{txt}
{com}. summarize SatisfactionOnascaleofnot

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
Satisfacti~t {c |}{res}        201      7.9801    2.328004          1         10
{txt}
{com}. summarize money

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}money {c |}{res}        244    2.872951    1.767402          1          5
{txt}
{com}. summarize research   

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}research {c |}{res}        243    3.098765    1.027775          1          4
{txt}
{com}. 
. summarize exploitation 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
exploitation {c |}{res}        223    1.201794    .4022419          1          2
{txt}
{com}. summarize sexharass 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}sexharass {c |}{res}        214    1.088785    .2851001          1          2
{txt}
{com}. summarize homophobia 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}homophobia {c |}{res}        212    1.061321    .2404856          1          2
{txt}
{com}. summarize racism

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}racism {c |}{res}        210    1.190476     .393615          1          2
{txt}
{com}. 
. *Model 1: basic satisfaction
. regress SatisfactionOnascaleofbur SatisfactionOnascaleofnot money1 research1 i.gender1 ib6.race1 i.status

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       199
{txt}{hline 13}{c +}{hline 34}   F(11, 187)      = {res}    11.69
{txt}       Model {c |} {res} 425.100224        11  38.6454749   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 618.095756       187   3.3053249   {txt}R-squared       ={res}    0.4075
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3726
{txt}       Total {c |} {res} 1043.19598       198  5.26866657   {txt}Root MSE        =   {res} 1.8181

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}SatisfactionOnascaleofbur{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SatisfactionOnascaleofnot {c |}{col 27}{res}{space 2} .3662195{col 39}{space 2}  .059241{col 50}{space 1}    6.18{col 59}{space 3}0.000{col 67}{space 4}  .249353{col 80}{space 3}  .483086
{txt}{space 19}money1 {c |}{col 27}{res}{space 2} .3865785{col 39}{space 2} .1228429{col 50}{space 1}    3.15{col 59}{space 3}0.002{col 67}{space 4} .1442425{col 80}{space 3} .6289146
{txt}{space 16}research1 {c |}{col 27}{res}{space 2} .5544884{col 39}{space 2} .1699536{col 50}{space 1}    3.26{col 59}{space 3}0.001{col 67}{space 4} .2192158{col 80}{space 3} .8897611
{txt}{space 25} {c |}
{space 18}gender1 {c |}
{space 19}trans  {c |}{col 27}{res}{space 2}-1.025279{col 39}{space 2} .5544923{col 50}{space 1}   -1.85{col 59}{space 3}0.066{col 67}{space 4}-2.119143{col 80}{space 3} .0685854
{txt}{space 19}woman  {c |}{col 27}{res}{space 2}-.4640353{col 39}{space 2} .2731087{col 50}{space 1}   -1.70{col 59}{space 3}0.091{col 67}{space 4}-1.002805{col 80}{space 3} .0747347
{txt}{space 25} {c |}
{space 20}race1 {c |}
{space 19}Asian  {c |}{col 27}{res}{space 2}-.7907832{col 39}{space 2}  .395034{col 50}{space 1}   -2.00{col 59}{space 3}0.047{col 67}{space 4}-1.570079{col 80}{space 3}-.0114874
{txt}{space 19}Black  {c |}{col 27}{res}{space 2} -1.21849{col 39}{space 2} .7712385{col 50}{space 1}   -1.58{col 59}{space 3}0.116{col 67}{space 4}-2.739936{col 80}{space 3} .3029559
{txt}{space 18}Latinx  {c |}{col 27}{res}{space 2} .1646425{col 39}{space 2} .4033448{col 50}{space 1}    0.41{col 59}{space 3}0.684{col 67}{space 4}-.6310484{col 80}{space 3} .9603334
{txt}{space 10}Middle Eastern  {c |}{col 27}{res}{space 2}-.6630329{col 39}{space 2}  .673992{col 50}{space 1}   -0.98{col 59}{space 3}0.327{col 67}{space 4}-1.992638{col 80}{space 3}  .666572
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-1.043622{col 39}{space 2} .5602068{col 50}{space 1}   -1.86{col 59}{space 3}0.064{col 67}{space 4}-2.148759{col 80}{space 3} .0615156
{txt}{space 25} {c |}
{space 19}status {c |}
{space 13}PhD student  {c |}{col 27}{res}{space 2} .9618089{col 39}{space 2} .2693592{col 50}{space 1}    3.57{col 59}{space 3}0.000{col 67}{space 4} .4304358{col 80}{space 3} 1.493182
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.805307{col 39}{space 2} .6017228{col 50}{space 1}    3.00{col 59}{space 3}0.003{col 67}{space 4} .6182701{col 80}{space 3} 2.992344
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Model 2: satisfaction with discrimination variables
. regress SatisfactionOnascaleofbur SatisfactionOnascaleofnot money1 research1 i.gender1 ib6.race1 i.status i.exploitation i.sexharass i.racism

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       198
{txt}{hline 13}{c +}{hline 34}   F(14, 183)      = {res}    14.12
{txt}       Model {c |} {res} 526.138694        14  37.5813353   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 487.235044       183  2.66248658   {txt}R-squared       ={res}    0.5192
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4824
{txt}       Total {c |} {res} 1013.37374       197  5.14402912   {txt}Root MSE        =   {res} 1.6317

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}SatisfactionOnascaleofbur{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SatisfactionOnascaleofnot {c |}{col 27}{res}{space 2} .3477824{col 39}{space 2} .0534353{col 50}{space 1}    6.51{col 59}{space 3}0.000{col 67}{space 4} .2423539{col 80}{space 3} .4532109
{txt}{space 19}money1 {c |}{col 27}{res}{space 2} .2774924{col 39}{space 2} .1153904{col 50}{space 1}    2.40{col 59}{space 3}0.017{col 67}{space 4} .0498257{col 80}{space 3}  .505159
{txt}{space 16}research1 {c |}{col 27}{res}{space 2}  .417274{col 39}{space 2} .1550059{col 50}{space 1}    2.69{col 59}{space 3}0.008{col 67}{space 4} .1114455{col 80}{space 3} .7231025
{txt}{space 25} {c |}
{space 18}gender1 {c |}
{space 19}trans  {c |}{col 27}{res}{space 2}-.6439879{col 39}{space 2} .5052699{col 50}{space 1}   -1.27{col 59}{space 3}0.204{col 67}{space 4}-1.640891{col 80}{space 3} .3529157
{txt}{space 19}woman  {c |}{col 27}{res}{space 2} -.236745{col 39}{space 2} .2477798{col 50}{space 1}   -0.96{col 59}{space 3}0.341{col 67}{space 4}-.7256176{col 80}{space 3} .2521275
{txt}{space 25} {c |}
{space 20}race1 {c |}
{space 19}Asian  {c |}{col 27}{res}{space 2} .2260323{col 39}{space 2} .4121288{col 50}{space 1}    0.55{col 59}{space 3}0.584{col 67}{space 4}-.5871028{col 80}{space 3} 1.039167
{txt}{space 19}Black  {c |}{col 27}{res}{space 2} .3751187{col 39}{space 2} .7508698{col 50}{space 1}    0.50{col 59}{space 3}0.618{col 67}{space 4}-1.106356{col 80}{space 3} 1.856594
{txt}{space 18}Latinx  {c |}{col 27}{res}{space 2} .3921656{col 39}{space 2} .3736427{col 50}{space 1}    1.05{col 59}{space 3}0.295{col 67}{space 4}-.3450359{col 80}{space 3} 1.129367
{txt}{space 10}Middle Eastern  {c |}{col 27}{res}{space 2}-.0416267{col 39}{space 2} .6575322{col 50}{space 1}   -0.06{col 59}{space 3}0.950{col 67}{space 4}-1.338946{col 80}{space 3} 1.255692
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-.6022112{col 39}{space 2} .5157743{col 50}{space 1}   -1.17{col 59}{space 3}0.244{col 67}{space 4} -1.61984{col 80}{space 3} .4154177
{txt}{space 25} {c |}
{space 19}status {c |}
{space 13}PhD student  {c |}{col 27}{res}{space 2} .9137808{col 39}{space 2} .2469273{col 50}{space 1}    3.70{col 59}{space 3}0.000{col 67}{space 4} .4265902{col 80}{space 3} 1.400971
{txt}{space 25} {c |}
{space 13}exploitation {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-1.068869{col 39}{space 2}  .336359{col 50}{space 1}   -3.18{col 59}{space 3}0.002{col 67}{space 4}-1.732509{col 80}{space 3}-.4052289
{txt}{space 25} {c |}
{space 16}sexharass {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-.4423361{col 39}{space 2} .4532334{col 50}{space 1}   -0.98{col 59}{space 3}0.330{col 67}{space 4}-1.336571{col 80}{space 3} .4518987
{txt}{space 25} {c |}
{space 19}racism {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2} -1.63235{col 39}{space 2} .3764294{col 50}{space 1}   -4.34{col 59}{space 3}0.000{col 67}{space 4}-2.375049{col 80}{space 3}  -.88965
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 2.642794{col 39}{space 2} .5847189{col 50}{space 1}    4.52{col 59}{space 3}0.000{col 67}{space 4} 1.489136{col 80}{space 3} 3.796451
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *note: money1 and research1 are ordinal variables with the categories in ascending order. oney and research are ordinal with categories jumbled.
. 
. 
. ***Appendices***
. 
. *Appendix 2: Descriptives*
. *271 responses/205 complete
. tab Finished

   {txt}Finished {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         66       24.35       24.35
{txt}          1 {c |}{res}        205       75.65      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        271      100.00
{txt}
{com}. 
. *49 universities, missing Rochester.
. tab program

                                {txt}program {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
                                Arizona {c |}{res}          6        2.21        2.21
{txt}                       Brown University {c |}{res}          4        1.48        3.69
{txt}                                Chicago {c |}{res}          5        1.85        5.54
{txt}                    Columbia University {c |}{res}          6        2.21        7.75
{txt}                     Cornell University {c |}{res}         11        4.06       11.81
{txt}                        Duke University {c |}{res}          5        1.85       13.65
{txt}                       Emory University {c |}{res}          1        0.37       14.02
{txt}               Florida State University {c |}{res}          3        1.11       15.13
{txt}                                     GW {c |}{res}         10        3.69       18.82
{txt}                  Georgetown University {c |}{res}          1        0.37       19.19
{txt}                                Georgia {c |}{res}          6        2.21       21.40
{txt}                     Harvard University {c |}{res}         10        3.69       25.09
{txt}         Indiana University Bloomington {c |}{res}          1        0.37       25.46
{txt}                                   Iowa {c |}{res}          2        0.74       26.20
{txt}                John Hopkins University {c |}{res}          2        0.74       26.94
{txt}                                    MIT {c |}{res}          7        2.58       29.52
{txt}                               Maryland {c |}{res}          2        0.74       30.26
{txt}              Michigan State University {c |}{res}          4        1.48       31.73
{txt}                              Minnesota {c |}{res}          3        1.11       32.84
{txt}                    New York University {c |}{res}          5        1.85       34.69
{txt}                Northwestern University {c |}{res}         10        3.69       38.38
{txt}                             Notre Dame {c |}{res}          4        1.48       39.85
{txt}                  Ohio State University {c |}{res}          2        0.74       40.59
{txt}          Pennsylvania State University {c |}{res}          2        0.74       41.33
{txt}                                   Pitt {c |}{res}          5        1.85       43.17
{txt}                   Princeton University {c |}{res}         12        4.43       47.60
{txt}                        Rice University {c |}{res}          2        0.74       48.34
{txt}                     Rutgers University {c |}{res}          4        1.48       49.82
{txt}                    Stanford University {c |}{res}         22        8.12       57.93
{txt}                 Stony Brook University {c |}{res}          2        0.74       58.67
{txt}                    Syracuse University {c |}{res}          8        2.95       61.62
{txt}                              Texas A&M {c |}{res}          1        0.37       61.99
{txt}                            UC Berkeley {c |}{res}          3        1.11       63.10
{txt}                             UC Boulder {c |}{res}          4        1.48       64.58
{txt}                               UC Davis {c |}{res}          2        0.74       65.31
{txt}                              UC Irvine {c |}{res}          6        2.21       67.53
{txt}                           UC Riverside {c |}{res}          5        1.85       69.37
{txt}                           UC San Diego {c |}{res}          3        1.11       70.48
{txt}                                   UCLA {c |}{res}          5        1.85       72.32
{txt}                                  UMich {c |}{res}          5        1.85       74.17
{txt}                        UNC Chapel Hill {c |}{res}         20        7.38       81.55
{txt}                                  UPenn {c |}{res}          4        1.48       83.03
{txt}                               UTAustin {c |}{res}         10        3.69       86.72
{txt}                                    UVA {c |}{res}          6        2.21       88.93
{txt}University of Illinois Urbana-Champaign {c |}{res}          1        0.37       89.30
{txt}               University of Washington {c |}{res}          1        0.37       89.67
{txt}                  Vanderbilt University {c |}{res}          4        1.48       91.14
{txt}                                  WUSTL {c |}{res}          4        1.48       92.62
{txt}                              Wisconsin {c |}{res}          4        1.48       94.10
{txt}                        Yale University {c |}{res}         16        5.90      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}        271      100.00
{txt}
{com}. 
. *Table 1 Demographics: 
. *Race
. tab race

          {txt}race {c |}      Freq.     Percent        Cum.
{hline 15}{c +}{hline 35}
         Asian {c |}{res}         37       13.65       13.65
{txt}         Black {c |}{res}          8        2.95       16.61
{txt}        Latinx {c |}{res}         31       11.44       28.04
{txt}Middle Eastern {c |}{res}          8        2.95       31.00
{txt}         Other {c |}{res}         25        9.23       40.22
{txt}         White {c |}{res}        162       59.78      100.00
{txt}{hline 15}{c +}{hline 35}
         Total {c |}{res}        271      100.00
{txt}
{com}. 
. *Gender
. tab gender

     {txt}gender {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        man {c |}{res}        118       43.54       43.54
{txt}      trans {c |}{res}         14        5.17       48.71
{txt}      woman {c |}{res}        139       51.29      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        271      100.00
{txt}
{com}. 
. *Age
. tab PleasenoteyourageAge

{txt}Please note {c |}
your age. - {c |}
        Age {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         22 {c |}{res}          6        2.68        2.68
{txt}         23 {c |}{res}          5        2.23        4.91
{txt}         24 {c |}{res}         15        6.70       11.61
{txt}         25 {c |}{res}         26       11.61       23.21
{txt}         26 {c |}{res}         26       11.61       34.82
{txt}         27 {c |}{res}         36       16.07       50.89
{txt}         28 {c |}{res}         28       12.50       63.39
{txt}         29 {c |}{res}         16        7.14       70.54
{txt}         30 {c |}{res}         17        7.59       78.12
{txt}         31 {c |}{res}         12        5.36       83.48
{txt}         32 {c |}{res}         11        4.91       88.39
{txt}         33 {c |}{res}          7        3.13       91.52
{txt}         34 {c |}{res}          6        2.68       94.20
{txt}         35 {c |}{res}          7        3.13       97.32
{txt}         36 {c |}{res}          2        0.89       98.21
{txt}         37 {c |}{res}          1        0.45       98.66
{txt}         38 {c |}{res}          1        0.45       99.11
{txt}         44 {c |}{res}          1        0.45       99.55
{txt}         45 {c |}{res}          1        0.45      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        224      100.00
{txt}
{com}. 
. *First gen
. tab Areyouafirstgenerationstude

  {txt}Are you a {c |}
      first {c |}
 generation {c |}
student?
(a {c |}
    student {c |}
      whose {c |}
parents did {c |}
        not {c |}
complete a  {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        205       78.24       78.24
{txt}        Yes {c |}{res}         57       21.76      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        262      100.00
{txt}
{com}. 
. *LGBTQ+ 31%
. tab DoyouidentifyasLGTBQ

  {txt}Do you identify {c |}
       as LGTBQ+? {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
               No {c |}{res}        179       66.30       66.30
{txt}Prefer not to say {c |}{res}          8        2.96       69.26
{txt}              Yes {c |}{res}         83       30.74      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}        270      100.00
{txt}
{com}. 
. *Unionized 45%
. tab Doesyouruniversityhaveagrad

  {txt}Does your {c |}
 university {c |}
     have a {c |}
   graduate {c |}
    student {c |}
     union? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        133       54.51       54.51
{txt}        Yes {c |}{res}        111       45.49      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        244      100.00
{txt}
{com}. 
. *Kids: 8%
. tab kids 

{txt}Do you have {c |}
  children? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        242       92.37       92.37
{txt}        Yes {c |}{res}         20        7.63      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        262      100.00
{txt}
{com}. 
. *International student: 29%
. tab international 

    {txt}Are you {c |}
 classified {c |}
      as an {c |}
internation {c |}
al student? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        188       71.48       71.48
{txt}        Yes {c |}{res}         75       28.52      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        263      100.00
{txt}
{com}. 
. *ABD: 53%
. tab Statusingraduateprogram

             {txt}Status in graduate program {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
PhD candidate (ABD - all but disserta.. {c |}{res}        144       53.33       53.33
{txt}                            PhD student {c |}{res}        126       46.67      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}        270      100.00
{txt}
{com}. 
. *Appendix 3: Analyses
. 
. *Descriptives on variables in the models Table A3.2
. summarize SatisfactionOnascaleofbur

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
Satisfacti~r {c |}{res}        207    6.396135    2.322867          1         10
{txt}
{com}. summarize SatisfactionOnascaleofnot

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
Satisfacti~t {c |}{res}        201      7.9801    2.328004          1         10
{txt}
{com}. summarize money1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}money1 {c |}{res}        271    2.667897    1.422193          0          4
{txt}
{com}. summarize research1   

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}research1 {c |}{res}        271    1.088561    .8774427          0          3
{txt}
{com}. 
. *Descriptives on variables in the models Table A3.3
. summarize exploitation 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
exploitation {c |}{res}        223    1.201794    .4022419          1          2
{txt}
{com}. summarize sexharass 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}sexharass {c |}{res}        214    1.088785    .2851001          1          2
{txt}
{com}. summarize homophobia 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}homophobia {c |}{res}        212    1.061321    .2404856          1          2
{txt}
{com}. summarize racism

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}racism {c |}{res}        210    1.190476     .393615          1          2
{txt}
{com}. 
. *Main models reproduced 
. *Model 1: basic satisfaction
. regress SatisfactionOnascaleofbur SatisfactionOnascaleofnot money1 research1 i.gender1 ib6.race1 i.status

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       199
{txt}{hline 13}{c +}{hline 34}   F(11, 187)      = {res}    11.69
{txt}       Model {c |} {res} 425.100224        11  38.6454749   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 618.095756       187   3.3053249   {txt}R-squared       ={res}    0.4075
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3726
{txt}       Total {c |} {res} 1043.19598       198  5.26866657   {txt}Root MSE        =   {res} 1.8181

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}SatisfactionOnascaleofbur{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SatisfactionOnascaleofnot {c |}{col 27}{res}{space 2} .3662195{col 39}{space 2}  .059241{col 50}{space 1}    6.18{col 59}{space 3}0.000{col 67}{space 4}  .249353{col 80}{space 3}  .483086
{txt}{space 19}money1 {c |}{col 27}{res}{space 2} .3865785{col 39}{space 2} .1228429{col 50}{space 1}    3.15{col 59}{space 3}0.002{col 67}{space 4} .1442425{col 80}{space 3} .6289146
{txt}{space 16}research1 {c |}{col 27}{res}{space 2} .5544884{col 39}{space 2} .1699536{col 50}{space 1}    3.26{col 59}{space 3}0.001{col 67}{space 4} .2192158{col 80}{space 3} .8897611
{txt}{space 25} {c |}
{space 18}gender1 {c |}
{space 19}trans  {c |}{col 27}{res}{space 2}-1.025279{col 39}{space 2} .5544923{col 50}{space 1}   -1.85{col 59}{space 3}0.066{col 67}{space 4}-2.119143{col 80}{space 3} .0685854
{txt}{space 19}woman  {c |}{col 27}{res}{space 2}-.4640353{col 39}{space 2} .2731087{col 50}{space 1}   -1.70{col 59}{space 3}0.091{col 67}{space 4}-1.002805{col 80}{space 3} .0747347
{txt}{space 25} {c |}
{space 20}race1 {c |}
{space 19}Asian  {c |}{col 27}{res}{space 2}-.7907832{col 39}{space 2}  .395034{col 50}{space 1}   -2.00{col 59}{space 3}0.047{col 67}{space 4}-1.570079{col 80}{space 3}-.0114874
{txt}{space 19}Black  {c |}{col 27}{res}{space 2} -1.21849{col 39}{space 2} .7712385{col 50}{space 1}   -1.58{col 59}{space 3}0.116{col 67}{space 4}-2.739936{col 80}{space 3} .3029559
{txt}{space 18}Latinx  {c |}{col 27}{res}{space 2} .1646425{col 39}{space 2} .4033448{col 50}{space 1}    0.41{col 59}{space 3}0.684{col 67}{space 4}-.6310484{col 80}{space 3} .9603334
{txt}{space 10}Middle Eastern  {c |}{col 27}{res}{space 2}-.6630329{col 39}{space 2}  .673992{col 50}{space 1}   -0.98{col 59}{space 3}0.327{col 67}{space 4}-1.992638{col 80}{space 3}  .666572
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-1.043622{col 39}{space 2} .5602068{col 50}{space 1}   -1.86{col 59}{space 3}0.064{col 67}{space 4}-2.148759{col 80}{space 3} .0615156
{txt}{space 25} {c |}
{space 19}status {c |}
{space 13}PhD student  {c |}{col 27}{res}{space 2} .9618089{col 39}{space 2} .2693592{col 50}{space 1}    3.57{col 59}{space 3}0.000{col 67}{space 4} .4304358{col 80}{space 3} 1.493182
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.805307{col 39}{space 2} .6017228{col 50}{space 1}    3.00{col 59}{space 3}0.003{col 67}{space 4} .6182701{col 80}{space 3} 2.992344
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Model 2: satisfaction with discrimination variables
. regress SatisfactionOnascaleofbur SatisfactionOnascaleofnot money1 research1 i.gender1 ib6.race1 i.status i.exploitation i.sexharass i.racism

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       198
{txt}{hline 13}{c +}{hline 34}   F(14, 183)      = {res}    14.12
{txt}       Model {c |} {res} 526.138694        14  37.5813353   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 487.235044       183  2.66248658   {txt}R-squared       ={res}    0.5192
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4824
{txt}       Total {c |} {res} 1013.37374       197  5.14402912   {txt}Root MSE        =   {res} 1.6317

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}SatisfactionOnascaleofbur{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SatisfactionOnascaleofnot {c |}{col 27}{res}{space 2} .3477824{col 39}{space 2} .0534353{col 50}{space 1}    6.51{col 59}{space 3}0.000{col 67}{space 4} .2423539{col 80}{space 3} .4532109
{txt}{space 19}money1 {c |}{col 27}{res}{space 2} .2774924{col 39}{space 2} .1153904{col 50}{space 1}    2.40{col 59}{space 3}0.017{col 67}{space 4} .0498257{col 80}{space 3}  .505159
{txt}{space 16}research1 {c |}{col 27}{res}{space 2}  .417274{col 39}{space 2} .1550059{col 50}{space 1}    2.69{col 59}{space 3}0.008{col 67}{space 4} .1114455{col 80}{space 3} .7231025
{txt}{space 25} {c |}
{space 18}gender1 {c |}
{space 19}trans  {c |}{col 27}{res}{space 2}-.6439879{col 39}{space 2} .5052699{col 50}{space 1}   -1.27{col 59}{space 3}0.204{col 67}{space 4}-1.640891{col 80}{space 3} .3529157
{txt}{space 19}woman  {c |}{col 27}{res}{space 2} -.236745{col 39}{space 2} .2477798{col 50}{space 1}   -0.96{col 59}{space 3}0.341{col 67}{space 4}-.7256176{col 80}{space 3} .2521275
{txt}{space 25} {c |}
{space 20}race1 {c |}
{space 19}Asian  {c |}{col 27}{res}{space 2} .2260323{col 39}{space 2} .4121288{col 50}{space 1}    0.55{col 59}{space 3}0.584{col 67}{space 4}-.5871028{col 80}{space 3} 1.039167
{txt}{space 19}Black  {c |}{col 27}{res}{space 2} .3751187{col 39}{space 2} .7508698{col 50}{space 1}    0.50{col 59}{space 3}0.618{col 67}{space 4}-1.106356{col 80}{space 3} 1.856594
{txt}{space 18}Latinx  {c |}{col 27}{res}{space 2} .3921656{col 39}{space 2} .3736427{col 50}{space 1}    1.05{col 59}{space 3}0.295{col 67}{space 4}-.3450359{col 80}{space 3} 1.129367
{txt}{space 10}Middle Eastern  {c |}{col 27}{res}{space 2}-.0416267{col 39}{space 2} .6575322{col 50}{space 1}   -0.06{col 59}{space 3}0.950{col 67}{space 4}-1.338946{col 80}{space 3} 1.255692
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-.6022112{col 39}{space 2} .5157743{col 50}{space 1}   -1.17{col 59}{space 3}0.244{col 67}{space 4} -1.61984{col 80}{space 3} .4154177
{txt}{space 25} {c |}
{space 19}status {c |}
{space 13}PhD student  {c |}{col 27}{res}{space 2} .9137808{col 39}{space 2} .2469273{col 50}{space 1}    3.70{col 59}{space 3}0.000{col 67}{space 4} .4265902{col 80}{space 3} 1.400971
{txt}{space 25} {c |}
{space 13}exploitation {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-1.068869{col 39}{space 2}  .336359{col 50}{space 1}   -3.18{col 59}{space 3}0.002{col 67}{space 4}-1.732509{col 80}{space 3}-.4052289
{txt}{space 25} {c |}
{space 16}sexharass {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-.4423361{col 39}{space 2} .4532334{col 50}{space 1}   -0.98{col 59}{space 3}0.330{col 67}{space 4}-1.336571{col 80}{space 3} .4518987
{txt}{space 25} {c |}
{space 19}racism {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2} -1.63235{col 39}{space 2} .3764294{col 50}{space 1}   -4.34{col 59}{space 3}0.000{col 67}{space 4}-2.375049{col 80}{space 3}  -.88965
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 2.642794{col 39}{space 2} .5847189{col 50}{space 1}    4.52{col 59}{space 3}0.000{col 67}{space 4} 1.489136{col 80}{space 3} 3.796451
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Ordered logistic check:
. *Model 3
. ologit SatisfactionOnascaleofbur SatisfactionOnascaleofnot i.money i.research i.gender1 ib6.race1 i.status

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-428.07597}  
Iteration 1:{space 3}log likelihood = {res:-376.05662}  
Iteration 2:{space 3}log likelihood = {res:-371.82187}  
Iteration 3:{space 3}log likelihood = {res: -371.7859}  
Iteration 4:{space 3}log likelihood = {res:-371.78589}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:197}
{txt}{col 57}{lalign 13:LR chi2({res:16})}{col 70} = {res}{ralign 6:112.58}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-371.78589}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1315}

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}SatisfactionOnascaleofbur{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SatisfactionOnascaleofnot {c |}{col 27}{res}{space 2} .3887571{col 39}{space 2} .0655806{col 50}{space 1}    5.93{col 59}{space 3}0.000{col 67}{space 4} .2602215{col 80}{space 3} .5172927
{txt}{space 25} {c |}
{space 20}money {c |}
{space 19}Never  {c |}{col 27}{res}{space 2}-2.544405{col 39}{space 2} .6569531{col 50}{space 1}   -3.87{col 59}{space 3}0.000{col 67}{space 4}-3.832009{col 80}{space 3}-1.256801
{txt}{space 18}Rarely  {c |}{col 27}{res}{space 2}-.6036758{col 39}{space 2} .6174664{col 50}{space 1}   -0.98{col 59}{space 3}0.328{col 67}{space 4}-1.813888{col 80}{space 3}  .606536
{txt}{space 15}Sometimes  {c |}{col 27}{res}{space 2}-.9287382{col 39}{space 2} .4051336{col 50}{space 1}   -2.29{col 59}{space 3}0.022{col 67}{space 4}-1.722785{col 80}{space 3}-.1346911
{txt}{space 17}Usually  {c |}{col 27}{res}{space 2}-1.264494{col 39}{space 2} .3303048{col 50}{space 1}   -3.83{col 59}{space 3}0.000{col 67}{space 4} -1.91188{col 80}{space 3}-.6171084
{txt}{space 25} {c |}
{space 17}research {c |}
{space 20}Most  {c |}{col 27}{res}{space 2} -.086789{col 39}{space 2} .5620007{col 50}{space 1}   -0.15{col 59}{space 3}0.877{col 67}{space 4} -1.18829{col 80}{space 3} 1.014712
{txt}{space 20}None  {c |}{col 27}{res}{space 2}-1.131078{col 39}{space 2} .6063117{col 50}{space 1}   -1.87{col 59}{space 3}0.062{col 67}{space 4}-2.319428{col 80}{space 3} .0572707
{txt}{space 20}Some  {c |}{col 27}{res}{space 2}-.6175611{col 39}{space 2} .5310061{col 50}{space 1}   -1.16{col 59}{space 3}0.245{col 67}{space 4}-1.658314{col 80}{space 3} .4231917
{txt}{space 25} {c |}
{space 18}gender1 {c |}
{space 19}trans  {c |}{col 27}{res}{space 2}-.5072507{col 39}{space 2} .6008796{col 50}{space 1}   -0.84{col 59}{space 3}0.399{col 67}{space 4}-1.684953{col 80}{space 3} .6704516
{txt}{space 19}woman  {c |}{col 27}{res}{space 2}-.0902672{col 39}{space 2} .2752156{col 50}{space 1}   -0.33{col 59}{space 3}0.743{col 67}{space 4}-.6296798{col 80}{space 3} .4491454
{txt}{space 25} {c |}
{space 20}race1 {c |}
{space 19}Asian  {c |}{col 27}{res}{space 2}-.7572724{col 39}{space 2} .4118234{col 50}{space 1}   -1.84{col 59}{space 3}0.066{col 67}{space 4}-1.564432{col 80}{space 3} .0498867
{txt}{space 19}Black  {c |}{col 27}{res}{space 2}-1.247328{col 39}{space 2} .7997106{col 50}{space 1}   -1.56{col 59}{space 3}0.119{col 67}{space 4}-2.814732{col 80}{space 3} .3200757
{txt}{space 18}Latinx  {c |}{col 27}{res}{space 2} .0638929{col 39}{space 2} .4013333{col 50}{space 1}    0.16{col 59}{space 3}0.874{col 67}{space 4} -.722706{col 80}{space 3} .8504918
{txt}{space 10}Middle Eastern  {c |}{col 27}{res}{space 2}-.5552923{col 39}{space 2} .7009053{col 50}{space 1}   -0.79{col 59}{space 3}0.428{col 67}{space 4}-1.929041{col 80}{space 3} .8184568
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-.9460064{col 39}{space 2} .5898106{col 50}{space 1}   -1.60{col 59}{space 3}0.109{col 67}{space 4}-2.102014{col 80}{space 3} .2100012
{txt}{space 25} {c |}
{space 19}status {c |}
{space 13}PhD student  {c |}{col 27}{res}{space 2} .9719019{col 39}{space 2} .2699729{col 50}{space 1}    3.60{col 59}{space 3}0.000{col 67}{space 4} .4427647{col 80}{space 3} 1.501039
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}/cut1 {c |}{col 27}{res}{space 2}-2.843219{col 39}{space 2} .8662133{col 67}{space 4}-4.540966{col 80}{space 3}-1.145472
{txt}{space 20}/cut2 {c |}{col 27}{res}{space 2}-1.799139{col 39}{space 2} .7954945{col 67}{space 4}-3.358279{col 80}{space 3}-.2399981
{txt}{space 20}/cut3 {c |}{col 27}{res}{space 2}  -.71662{col 39}{space 2} .7709071{col 67}{space 4} -2.22757{col 80}{space 3} .7943302
{txt}{space 20}/cut4 {c |}{col 27}{res}{space 2}-.0199467{col 39}{space 2} .7667696{col 67}{space 4}-1.522787{col 80}{space 3} 1.482894
{txt}{space 20}/cut5 {c |}{col 27}{res}{space 2} .8646155{col 39}{space 2} .7702414{col 67}{space 4}  -.64503{col 80}{space 3} 2.374261
{txt}{space 20}/cut6 {c |}{col 27}{res}{space 2} 1.715626{col 39}{space 2} .7812911{col 67}{space 4} .1843233{col 80}{space 3} 3.246928
{txt}{space 20}/cut7 {c |}{col 27}{res}{space 2} 2.748981{col 39}{space 2} .7943301{col 67}{space 4} 1.192123{col 80}{space 3} 4.305839
{txt}{space 20}/cut8 {c |}{col 27}{res}{space 2} 3.934311{col 39}{space 2} .8071547{col 67}{space 4} 2.352317{col 80}{space 3} 5.516306
{txt}{space 20}/cut9 {c |}{col 27}{res}{space 2} 5.098351{col 39}{space 2} .8374698{col 67}{space 4}  3.45694{col 80}{space 3} 6.739761
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 4
. ologit SatisfactionOnascaleofbur SatisfactionOnascaleofnot i.money i.research i.gender1 ib6.race1 i.status i.exploitation i.sexharass i.racism

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-424.29732}  
Iteration 1:{space 3}log likelihood = {res:-356.20086}  
Iteration 2:{space 3}log likelihood = {res:-349.13646}  
Iteration 3:{space 3}log likelihood = {res:-349.01002}  
Iteration 4:{space 3}log likelihood = {res:-349.00989}  
Iteration 5:{space 3}log likelihood = {res:-349.00989}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:196}
{txt}{col 57}{lalign 13:LR chi2({res:19})}{col 70} = {res}{ralign 6:150.57}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-349.00989}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1774}

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}SatisfactionOnascaleofbur{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SatisfactionOnascaleofnot {c |}{col 27}{res}{space 2} .4474125{col 39}{space 2} .0695958{col 50}{space 1}    6.43{col 59}{space 3}0.000{col 67}{space 4} .3110072{col 80}{space 3} .5838178
{txt}{space 25} {c |}
{space 20}money {c |}
{space 19}Never  {c |}{col 27}{res}{space 2}-2.244385{col 39}{space 2} .6530184{col 50}{space 1}   -3.44{col 59}{space 3}0.001{col 67}{space 4}-3.524277{col 80}{space 3}-.9644924
{txt}{space 18}Rarely  {c |}{col 27}{res}{space 2}-.3696481{col 39}{space 2} .6541068{col 50}{space 1}   -0.57{col 59}{space 3}0.572{col 67}{space 4}-1.651674{col 80}{space 3} .9123776
{txt}{space 15}Sometimes  {c |}{col 27}{res}{space 2}-.7763036{col 39}{space 2} .4122936{col 50}{space 1}   -1.88{col 59}{space 3}0.060{col 67}{space 4}-1.584384{col 80}{space 3}  .031777
{txt}{space 17}Usually  {c |}{col 27}{res}{space 2}-1.369042{col 39}{space 2} .3380293{col 50}{space 1}   -4.05{col 59}{space 3}0.000{col 67}{space 4}-2.031567{col 80}{space 3}-.7065169
{txt}{space 25} {c |}
{space 17}research {c |}
{space 20}Most  {c |}{col 27}{res}{space 2}-.1790334{col 39}{space 2} .5744929{col 50}{space 1}   -0.31{col 59}{space 3}0.755{col 67}{space 4}-1.305019{col 80}{space 3} .9469521
{txt}{space 20}None  {c |}{col 27}{res}{space 2}-.9582394{col 39}{space 2} .6198053{col 50}{space 1}   -1.55{col 59}{space 3}0.122{col 67}{space 4}-2.173035{col 80}{space 3} .2565566
{txt}{space 20}Some  {c |}{col 27}{res}{space 2}-.6479287{col 39}{space 2} .5404091{col 50}{space 1}   -1.20{col 59}{space 3}0.231{col 67}{space 4}-1.707111{col 80}{space 3} .4112538
{txt}{space 25} {c |}
{space 18}gender1 {c |}
{space 19}trans  {c |}{col 27}{res}{space 2}-.1914293{col 39}{space 2} .5970716{col 50}{space 1}   -0.32{col 59}{space 3}0.749{col 67}{space 4}-1.361668{col 80}{space 3} .9788094
{txt}{space 19}woman  {c |}{col 27}{res}{space 2} .0988876{col 39}{space 2} .2792756{col 50}{space 1}    0.35{col 59}{space 3}0.723{col 67}{space 4}-.4484825{col 80}{space 3} .6462576
{txt}{space 25} {c |}
{space 20}race1 {c |}
{space 19}Asian  {c |}{col 27}{res}{space 2} .3297663{col 39}{space 2} .4658899{col 50}{space 1}    0.71{col 59}{space 3}0.479{col 67}{space 4}-.5833612{col 80}{space 3} 1.242894
{txt}{space 19}Black  {c |}{col 27}{res}{space 2} .4750744{col 39}{space 2} .8818704{col 50}{space 1}    0.54{col 59}{space 3}0.590{col 67}{space 4} -1.25336{col 80}{space 3} 2.203509
{txt}{space 18}Latinx  {c |}{col 27}{res}{space 2}  .225925{col 39}{space 2} .4212004{col 50}{space 1}    0.54{col 59}{space 3}0.592{col 67}{space 4}-.5996127{col 80}{space 3} 1.051463
{txt}{space 10}Middle Eastern  {c |}{col 27}{res}{space 2} .3065946{col 39}{space 2} .7817374{col 50}{space 1}    0.39{col 59}{space 3}0.695{col 67}{space 4}-1.225583{col 80}{space 3} 1.838772
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-.4027304{col 39}{space 2} .5832384{col 50}{space 1}   -0.69{col 59}{space 3}0.490{col 67}{space 4}-1.545857{col 80}{space 3} .7403958
{txt}{space 25} {c |}
{space 19}status {c |}
{space 13}PhD student  {c |}{col 27}{res}{space 2}  1.05948{col 39}{space 2}   .27977{col 50}{space 1}    3.79{col 59}{space 3}0.000{col 67}{space 4}  .511141{col 80}{space 3} 1.607819
{txt}{space 25} {c |}
{space 13}exploitation {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-1.067742{col 39}{space 2} .3817114{col 50}{space 1}   -2.80{col 59}{space 3}0.005{col 67}{space 4}-1.815882{col 80}{space 3}-.3196009
{txt}{space 25} {c |}
{space 16}sexharass {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-.4139304{col 39}{space 2} .5139635{col 50}{space 1}   -0.81{col 59}{space 3}0.421{col 67}{space 4} -1.42128{col 80}{space 3} .5934195
{txt}{space 25} {c |}
{space 19}racism {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-1.902977{col 39}{space 2} .4540376{col 50}{space 1}   -4.19{col 59}{space 3}0.000{col 67}{space 4}-2.792874{col 80}{space 3}-1.013079
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}/cut1 {c |}{col 27}{res}{space 2} -3.27805{col 39}{space 2} .9135466{col 67}{space 4}-5.068569{col 80}{space 3}-1.487532
{txt}{space 20}/cut2 {c |}{col 27}{res}{space 2}-2.008928{col 39}{space 2} .8191932{col 67}{space 4}-3.614517{col 80}{space 3}-.4033386
{txt}{space 20}/cut3 {c |}{col 27}{res}{space 2}-.7833081{col 39}{space 2} .7946805{col 67}{space 4}-2.340853{col 80}{space 3}  .774237
{txt}{space 20}/cut4 {c |}{col 27}{res}{space 2} .0063669{col 39}{space 2} .7898606{col 67}{space 4}-1.541732{col 80}{space 3} 1.554465
{txt}{space 20}/cut5 {c |}{col 27}{res}{space 2} 1.033532{col 39}{space 2} .7949483{col 67}{space 4}-.5245382{col 80}{space 3} 2.591602
{txt}{space 20}/cut6 {c |}{col 27}{res}{space 2} 2.015589{col 39}{space 2} .8100624{col 67}{space 4} .4278958{col 80}{space 3} 3.603282
{txt}{space 20}/cut7 {c |}{col 27}{res}{space 2} 3.185216{col 39}{space 2} .8284149{col 67}{space 4} 1.561553{col 80}{space 3}  4.80888
{txt}{space 20}/cut8 {c |}{col 27}{res}{space 2} 4.481331{col 39}{space 2} .8460697{col 67}{space 4} 2.823065{col 80}{space 3} 6.139597
{txt}{space 20}/cut9 {c |}{col 27}{res}{space 2} 5.729325{col 39}{space 2}  .881239{col 67}{space 4} 4.002128{col 80}{space 3} 7.456521
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *Full controls
. *Model 5 base model
. regress SatisfactionOnascaleofbur SatisfactionOnascaleofnot money1 research1 i.gender1 ib6.race1 i.status

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       199
{txt}{hline 13}{c +}{hline 34}   F(11, 187)      = {res}    11.69
{txt}       Model {c |} {res} 425.100224        11  38.6454749   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 618.095756       187   3.3053249   {txt}R-squared       ={res}    0.4075
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3726
{txt}       Total {c |} {res} 1043.19598       198  5.26866657   {txt}Root MSE        =   {res} 1.8181

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}SatisfactionOnascaleofbur{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SatisfactionOnascaleofnot {c |}{col 27}{res}{space 2} .3662195{col 39}{space 2}  .059241{col 50}{space 1}    6.18{col 59}{space 3}0.000{col 67}{space 4}  .249353{col 80}{space 3}  .483086
{txt}{space 19}money1 {c |}{col 27}{res}{space 2} .3865785{col 39}{space 2} .1228429{col 50}{space 1}    3.15{col 59}{space 3}0.002{col 67}{space 4} .1442425{col 80}{space 3} .6289146
{txt}{space 16}research1 {c |}{col 27}{res}{space 2} .5544884{col 39}{space 2} .1699536{col 50}{space 1}    3.26{col 59}{space 3}0.001{col 67}{space 4} .2192158{col 80}{space 3} .8897611
{txt}{space 25} {c |}
{space 18}gender1 {c |}
{space 19}trans  {c |}{col 27}{res}{space 2}-1.025279{col 39}{space 2} .5544923{col 50}{space 1}   -1.85{col 59}{space 3}0.066{col 67}{space 4}-2.119143{col 80}{space 3} .0685854
{txt}{space 19}woman  {c |}{col 27}{res}{space 2}-.4640353{col 39}{space 2} .2731087{col 50}{space 1}   -1.70{col 59}{space 3}0.091{col 67}{space 4}-1.002805{col 80}{space 3} .0747347
{txt}{space 25} {c |}
{space 20}race1 {c |}
{space 19}Asian  {c |}{col 27}{res}{space 2}-.7907832{col 39}{space 2}  .395034{col 50}{space 1}   -2.00{col 59}{space 3}0.047{col 67}{space 4}-1.570079{col 80}{space 3}-.0114874
{txt}{space 19}Black  {c |}{col 27}{res}{space 2} -1.21849{col 39}{space 2} .7712385{col 50}{space 1}   -1.58{col 59}{space 3}0.116{col 67}{space 4}-2.739936{col 80}{space 3} .3029559
{txt}{space 18}Latinx  {c |}{col 27}{res}{space 2} .1646425{col 39}{space 2} .4033448{col 50}{space 1}    0.41{col 59}{space 3}0.684{col 67}{space 4}-.6310484{col 80}{space 3} .9603334
{txt}{space 10}Middle Eastern  {c |}{col 27}{res}{space 2}-.6630329{col 39}{space 2}  .673992{col 50}{space 1}   -0.98{col 59}{space 3}0.327{col 67}{space 4}-1.992638{col 80}{space 3}  .666572
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-1.043622{col 39}{space 2} .5602068{col 50}{space 1}   -1.86{col 59}{space 3}0.064{col 67}{space 4}-2.148759{col 80}{space 3} .0615156
{txt}{space 25} {c |}
{space 19}status {c |}
{space 13}PhD student  {c |}{col 27}{res}{space 2} .9618089{col 39}{space 2} .2693592{col 50}{space 1}    3.57{col 59}{space 3}0.000{col 67}{space 4} .4304358{col 80}{space 3} 1.493182
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.805307{col 39}{space 2} .6017228{col 50}{space 1}    3.00{col 59}{space 3}0.003{col 67}{space 4} .6182701{col 80}{space 3} 2.992344
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 6 harassment model
. regress SatisfactionOnascaleofbur SatisfactionOnascaleofnot money1 research1 i.gender1 ib6.race1 i.status i.exploitation i.sexharass i.racism

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       198
{txt}{hline 13}{c +}{hline 34}   F(14, 183)      = {res}    14.12
{txt}       Model {c |} {res} 526.138694        14  37.5813353   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 487.235044       183  2.66248658   {txt}R-squared       ={res}    0.5192
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4824
{txt}       Total {c |} {res} 1013.37374       197  5.14402912   {txt}Root MSE        =   {res} 1.6317

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}SatisfactionOnascaleofbur{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SatisfactionOnascaleofnot {c |}{col 27}{res}{space 2} .3477824{col 39}{space 2} .0534353{col 50}{space 1}    6.51{col 59}{space 3}0.000{col 67}{space 4} .2423539{col 80}{space 3} .4532109
{txt}{space 19}money1 {c |}{col 27}{res}{space 2} .2774924{col 39}{space 2} .1153904{col 50}{space 1}    2.40{col 59}{space 3}0.017{col 67}{space 4} .0498257{col 80}{space 3}  .505159
{txt}{space 16}research1 {c |}{col 27}{res}{space 2}  .417274{col 39}{space 2} .1550059{col 50}{space 1}    2.69{col 59}{space 3}0.008{col 67}{space 4} .1114455{col 80}{space 3} .7231025
{txt}{space 25} {c |}
{space 18}gender1 {c |}
{space 19}trans  {c |}{col 27}{res}{space 2}-.6439879{col 39}{space 2} .5052699{col 50}{space 1}   -1.27{col 59}{space 3}0.204{col 67}{space 4}-1.640891{col 80}{space 3} .3529157
{txt}{space 19}woman  {c |}{col 27}{res}{space 2} -.236745{col 39}{space 2} .2477798{col 50}{space 1}   -0.96{col 59}{space 3}0.341{col 67}{space 4}-.7256176{col 80}{space 3} .2521275
{txt}{space 25} {c |}
{space 20}race1 {c |}
{space 19}Asian  {c |}{col 27}{res}{space 2} .2260323{col 39}{space 2} .4121288{col 50}{space 1}    0.55{col 59}{space 3}0.584{col 67}{space 4}-.5871028{col 80}{space 3} 1.039167
{txt}{space 19}Black  {c |}{col 27}{res}{space 2} .3751187{col 39}{space 2} .7508698{col 50}{space 1}    0.50{col 59}{space 3}0.618{col 67}{space 4}-1.106356{col 80}{space 3} 1.856594
{txt}{space 18}Latinx  {c |}{col 27}{res}{space 2} .3921656{col 39}{space 2} .3736427{col 50}{space 1}    1.05{col 59}{space 3}0.295{col 67}{space 4}-.3450359{col 80}{space 3} 1.129367
{txt}{space 10}Middle Eastern  {c |}{col 27}{res}{space 2}-.0416267{col 39}{space 2} .6575322{col 50}{space 1}   -0.06{col 59}{space 3}0.950{col 67}{space 4}-1.338946{col 80}{space 3} 1.255692
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-.6022112{col 39}{space 2} .5157743{col 50}{space 1}   -1.17{col 59}{space 3}0.244{col 67}{space 4} -1.61984{col 80}{space 3} .4154177
{txt}{space 25} {c |}
{space 19}status {c |}
{space 13}PhD student  {c |}{col 27}{res}{space 2} .9137808{col 39}{space 2} .2469273{col 50}{space 1}    3.70{col 59}{space 3}0.000{col 67}{space 4} .4265902{col 80}{space 3} 1.400971
{txt}{space 25} {c |}
{space 13}exploitation {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-1.068869{col 39}{space 2}  .336359{col 50}{space 1}   -3.18{col 59}{space 3}0.002{col 67}{space 4}-1.732509{col 80}{space 3}-.4052289
{txt}{space 25} {c |}
{space 16}sexharass {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-.4423361{col 39}{space 2} .4532334{col 50}{space 1}   -0.98{col 59}{space 3}0.330{col 67}{space 4}-1.336571{col 80}{space 3} .4518987
{txt}{space 25} {c |}
{space 19}racism {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2} -1.63235{col 39}{space 2} .3764294{col 50}{space 1}   -4.34{col 59}{space 3}0.000{col 67}{space 4}-2.375049{col 80}{space 3}  -.88965
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 2.642794{col 39}{space 2} .5847189{col 50}{space 1}    4.52{col 59}{space 3}0.000{col 67}{space 4} 1.489136{col 80}{space 3} 3.796451
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 7 add department/university level variables 
. regress SatisfactionOnascaleofbur SatisfactionOnascaleofnot money1 research1 i.gender1 ib6.race1 i.status i.exploitation i.sexharass i.racism rank i.union i.public

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       197
{txt}{hline 13}{c +}{hline 34}   F(17, 179)      = {res}    11.95
{txt}       Model {c |} {res}  537.57893        17    31.62229   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 473.608887       179   2.6458597   {txt}R-squared       ={res}    0.5316
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4871
{txt}       Total {c |} {res} 1011.18782       196  5.15912152   {txt}Root MSE        =   {res} 1.6266

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}SatisfactionOnascaleofbur{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SatisfactionOnascaleofnot {c |}{col 27}{res}{space 2}  .344163{col 39}{space 2} .0546066{col 50}{space 1}    6.30{col 59}{space 3}0.000{col 67}{space 4} .2364076{col 80}{space 3} .4519185
{txt}{space 19}money1 {c |}{col 27}{res}{space 2} .2629222{col 39}{space 2} .1200682{col 50}{space 1}    2.19{col 59}{space 3}0.030{col 67}{space 4} .0259909{col 80}{space 3} .4998534
{txt}{space 16}research1 {c |}{col 27}{res}{space 2} .4409398{col 39}{space 2} .1643866{col 50}{space 1}    2.68{col 59}{space 3}0.008{col 67}{space 4} .1165548{col 80}{space 3} .7653249
{txt}{space 25} {c |}
{space 18}gender1 {c |}
{space 19}trans  {c |}{col 27}{res}{space 2}-.7017997{col 39}{space 2} .5067545{col 50}{space 1}   -1.38{col 59}{space 3}0.168{col 67}{space 4}-1.701781{col 80}{space 3} .2981817
{txt}{space 19}woman  {c |}{col 27}{res}{space 2}-.2585929{col 39}{space 2} .2518915{col 50}{space 1}   -1.03{col 59}{space 3}0.306{col 67}{space 4}-.7556518{col 80}{space 3}  .238466
{txt}{space 25} {c |}
{space 20}race1 {c |}
{space 19}Asian  {c |}{col 27}{res}{space 2} .1246341{col 39}{space 2} .4246277{col 50}{space 1}    0.29{col 59}{space 3}0.769{col 67}{space 4}-.7132861{col 80}{space 3} .9625543
{txt}{space 19}Black  {c |}{col 27}{res}{space 2} .2198733{col 39}{space 2} .7563992{col 50}{space 1}    0.29{col 59}{space 3}0.772{col 67}{space 4}-1.272733{col 80}{space 3}  1.71248
{txt}{space 18}Latinx  {c |}{col 27}{res}{space 2} .3966588{col 39}{space 2}  .385357{col 50}{space 1}    1.03{col 59}{space 3}0.305{col 67}{space 4}-.3637683{col 80}{space 3} 1.157086
{txt}{space 10}Middle Eastern  {c |}{col 27}{res}{space 2}-.1351702{col 39}{space 2} .6652946{col 50}{space 1}   -0.20{col 59}{space 3}0.839{col 67}{space 4}   -1.448{col 80}{space 3} 1.177659
{txt}{space 19}Other  {c |}{col 27}{res}{space 2} -.547894{col 39}{space 2} .5408176{col 50}{space 1}   -1.01{col 59}{space 3}0.312{col 67}{space 4}-1.615092{col 80}{space 3} .5193043
{txt}{space 25} {c |}
{space 19}status {c |}
{space 13}PhD student  {c |}{col 27}{res}{space 2} .9294399{col 39}{space 2}   .25153{col 50}{space 1}    3.70{col 59}{space 3}0.000{col 67}{space 4} .4330943{col 80}{space 3} 1.425786
{txt}{space 25} {c |}
{space 13}exploitation {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-1.063245{col 39}{space 2} .3369518{col 50}{space 1}   -3.16{col 59}{space 3}0.002{col 67}{space 4}-1.728154{col 80}{space 3}-.3983358
{txt}{space 25} {c |}
{space 16}sexharass {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-.5082119{col 39}{space 2} .4549426{col 50}{space 1}   -1.12{col 59}{space 3}0.265{col 67}{space 4}-1.405953{col 80}{space 3} .3895287
{txt}{space 25} {c |}
{space 19}racism {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-1.613863{col 39}{space 2} .3809638{col 50}{space 1}   -4.24{col 59}{space 3}0.000{col 67}{space 4}-2.365621{col 80}{space 3}-.8621054
{txt}{space 21}rank {c |}{col 27}{res}{space 2} .0149749{col 39}{space 2} .0086723{col 50}{space 1}    1.73{col 59}{space 3}0.086{col 67}{space 4}-.0021383{col 80}{space 3} .0320881
{txt}{space 25} {c |}
{space 20}union {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}  -.25855{col 39}{space 2} .2597735{col 50}{space 1}   -1.00{col 59}{space 3}0.321{col 67}{space 4}-.7711624{col 80}{space 3} .2540624
{txt}{space 17}1.public {c |}{col 27}{res}{space 2}-.3560478{col 39}{space 2}  .297179{col 50}{space 1}   -1.20{col 59}{space 3}0.232{col 67}{space 4}-.9424728{col 80}{space 3} .2303773
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 2.691819{col 39}{space 2} .6579236{col 50}{space 1}    4.09{col 59}{space 3}0.000{col 67}{space 4} 1.393535{col 80}{space 3} 3.990103
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *model 8 add additional demographic variables
. regress SatisfactionOnascaleofbur SatisfactionOnascaleofnot money1 research1 i.gender1 ib6.race1 i.status i.exploitation i.sexharass i.racism i.kids i.international i.firstgen i.lgbt PleasenoteyourageAge

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       162
{txt}{hline 13}{c +}{hline 34}   F(20, 141)      = {res}     8.92
{txt}       Model {c |} {res} 445.766441        20   22.288322   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  352.43109       141  2.49951128   {txt}R-squared       ={res}    0.5585
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4958
{txt}       Total {c |} {res} 798.197531       161  4.95774864   {txt}Root MSE        =   {res}  1.581

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}SatisfactionOnascaleofbur{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SatisfactionOnascaleofnot {c |}{col 27}{res}{space 2} .3286206{col 39}{space 2} .0579262{col 50}{space 1}    5.67{col 59}{space 3}0.000{col 67}{space 4} .2141044{col 80}{space 3} .4431368
{txt}{space 19}money1 {c |}{col 27}{res}{space 2} .3801329{col 39}{space 2} .1339921{col 50}{space 1}    2.84{col 59}{space 3}0.005{col 67}{space 4} .1152397{col 80}{space 3} .6450261
{txt}{space 16}research1 {c |}{col 27}{res}{space 2} .3615901{col 39}{space 2} .1649745{col 50}{space 1}    2.19{col 59}{space 3}0.030{col 67}{space 4} .0354468{col 80}{space 3} .6877334
{txt}{space 25} {c |}
{space 18}gender1 {c |}
{space 19}trans  {c |}{col 27}{res}{space 2}-1.659296{col 39}{space 2} .6025277{col 50}{space 1}   -2.75{col 59}{space 3}0.007{col 67}{space 4}-2.850452{col 80}{space 3}-.4681396
{txt}{space 19}woman  {c |}{col 27}{res}{space 2}-.3024088{col 39}{space 2} .2720789{col 50}{space 1}   -1.11{col 59}{space 3}0.268{col 67}{space 4}-.8402901{col 80}{space 3} .2354725
{txt}{space 25} {c |}
{space 20}race1 {c |}
{space 19}Asian  {c |}{col 27}{res}{space 2} .6631766{col 39}{space 2} .4924177{col 50}{space 1}    1.35{col 59}{space 3}0.180{col 67}{space 4}-.3102995{col 80}{space 3} 1.636653
{txt}{space 19}Black  {c |}{col 27}{res}{space 2} .4040256{col 39}{space 2}  .763217{col 50}{space 1}    0.53{col 59}{space 3}0.597{col 67}{space 4}-1.104802{col 80}{space 3} 1.912853
{txt}{space 18}Latinx  {c |}{col 27}{res}{space 2} .3212208{col 39}{space 2} .4344502{col 50}{space 1}    0.74{col 59}{space 3}0.461{col 67}{space 4}-.5376575{col 80}{space 3} 1.180099
{txt}{space 10}Middle Eastern  {c |}{col 27}{res}{space 2}-.1895909{col 39}{space 2} .8560197{col 50}{space 1}   -0.22{col 59}{space 3}0.825{col 67}{space 4}-1.881883{col 80}{space 3} 1.502701
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-.8477103{col 39}{space 2} .6169848{col 50}{space 1}   -1.37{col 59}{space 3}0.172{col 67}{space 4}-2.067447{col 80}{space 3} .3720265
{txt}{space 25} {c |}
{space 19}status {c |}
{space 13}PhD student  {c |}{col 27}{res}{space 2} .8514997{col 39}{space 2} .2910921{col 50}{space 1}    2.93{col 59}{space 3}0.004{col 67}{space 4} .2760306{col 80}{space 3} 1.426969
{txt}{space 25} {c |}
{space 13}exploitation {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}  -.87499{col 39}{space 2} .3694503{col 50}{space 1}   -2.37{col 59}{space 3}0.019{col 67}{space 4}-1.605368{col 80}{space 3} -.144612
{txt}{space 25} {c |}
{space 16}sexharass {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-1.187938{col 39}{space 2} .5536761{col 50}{space 1}   -2.15{col 59}{space 3}0.034{col 67}{space 4}-2.282518{col 80}{space 3}-.0933581
{txt}{space 25} {c |}
{space 19}racism {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-1.630636{col 39}{space 2} .4436738{col 50}{space 1}   -3.68{col 59}{space 3}0.000{col 67}{space 4}-2.507748{col 80}{space 3}-.7535229
{txt}{space 25} {c |}
{space 21}kids {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2} .4670814{col 39}{space 2} .5496649{col 50}{space 1}    0.85{col 59}{space 3}0.397{col 67}{space 4}-.6195684{col 80}{space 3} 1.553731
{txt}{space 25} {c |}
{space 12}international {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2} .0520569{col 39}{space 2} .3672395{col 50}{space 1}    0.14{col 59}{space 3}0.887{col 67}{space 4}-.6739505{col 80}{space 3} .7780643
{txt}{space 25} {c |}
{space 17}firstgen {c |}
{space 21}Yes  {c |}{col 27}{res}{space 2}-.1709043{col 39}{space 2} .3211461{col 50}{space 1}   -0.53{col 59}{space 3}0.595{col 67}{space 4}-.8057881{col 80}{space 3} .4639796
{txt}{space 25} {c |}
{space 21}lgbt {c |}
{space 7}Prefer not to say  {c |}{col 27}{res}{space 2}-.0944374{col 39}{space 2}  .995471{col 50}{space 1}   -0.09{col 59}{space 3}0.925{col 67}{space 4}-2.062415{col 80}{space 3} 1.873541
{txt}{space 21}Yes  {c |}{col 27}{res}{space 2} .5512489{col 39}{space 2} .2942221{col 50}{space 1}    1.87{col 59}{space 3}0.063{col 67}{space 4}-.0304081{col 80}{space 3} 1.132906
{txt}{space 25} {c |}
{space 5}PleasenoteyourageAge {c |}{col 27}{res}{space 2} .0073674{col 39}{space 2}  .043876{col 50}{space 1}    0.17{col 59}{space 3}0.867{col 67}{space 4}-.0793724{col 80}{space 3} .0941072
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 2.188568{col 39}{space 2} 1.486322{col 50}{space 1}    1.47{col 59}{space 3}0.143{col 67}{space 4}-.7497899{col 80}{space 3} 5.126925
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Harassment models
. 
. *Sexual Harassment
. *Model 9: gender, exploitation, and international student status are significant
. ologit sexharass i.gender1 rank i.exploitation i.racism i.international 

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-61.336942}  
Iteration 1:{space 3}log likelihood = {res:-54.478933}  
Iteration 2:{space 3}log likelihood = {res:-51.289731}  
Iteration 3:{space 3}log likelihood = {res:-51.244887}  
Iteration 4:{space 3}log likelihood = {res:-51.244833}  
Iteration 5:{space 3}log likelihood = {res:-51.244833}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:209}
{txt}{col 57}{lalign 13:LR chi2({res:6})}{col 70} = {res}{ralign 6:20.18}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0026}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-51.244833}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1645}

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    sexharass{col 15}{c |} Coefficient{col 27}  Std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}gender1 {c |}
{space 7}trans  {c |}{col 15}{res}{space 2} 2.117967{col 27}{space 2} .9818766{col 38}{space 1}    2.16{col 47}{space 3}0.031{col 55}{space 4} .1935247{col 68}{space 3}  4.04241
{txt}{space 7}woman  {c |}{col 15}{res}{space 2} 1.284819{col 27}{space 2} .6973008{col 38}{space 1}    1.84{col 47}{space 3}0.065{col 55}{space 4}-.0818652{col 68}{space 3} 2.651504
{txt}{space 13} {c |}
{space 9}rank {c |}{col 15}{res}{space 2}  .017881{col 27}{space 2} .0165397{col 38}{space 1}    1.08{col 47}{space 3}0.280{col 55}{space 4}-.0145362{col 68}{space 3} .0502982
{txt}{space 13} {c |}
{space 1}exploitation {c |}
{space 9}Yes  {c |}{col 15}{res}{space 2}   1.3653{col 27}{space 2} .5719077{col 38}{space 1}    2.39{col 47}{space 3}0.017{col 55}{space 4} .2443816{col 68}{space 3} 2.486218
{txt}{space 13} {c |}
{space 7}racism {c |}
{space 9}Yes  {c |}{col 15}{res}{space 2} .2108714{col 27}{space 2} .6070197{col 38}{space 1}    0.35{col 47}{space 3}0.728{col 55}{space 4}-.9788655{col 68}{space 3} 1.400608
{txt}{space 13} {c |}
international {c |}
{space 9}Yes  {c |}{col 15}{res}{space 2} 1.145937{col 27}{space 2} .5889941{col 38}{space 1}    1.95{col 47}{space 3}0.052{col 55}{space 4}-.0084707{col 68}{space 3} 2.300344
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}/cut1 {c |}{col 15}{res}{space 2} 4.695701{col 27}{space 2} .8402214{col 55}{space 4} 3.048898{col 68}{space 3} 6.342505
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Racism
. *Model 10: race and exploitation are significant
. ologit racism ib6.race1 i.gender1 i.exploitation i.sexharass i.international

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -102.0398}  
Iteration 1:{space 3}log likelihood = {res:-66.506348}  
Iteration 2:{space 3}log likelihood = {res:-60.429686}  
Iteration 3:{space 3}log likelihood = {res:-59.712059}  
Iteration 4:{space 3}log likelihood = {res:-59.705771}  
Iteration 5:{space 3}log likelihood = {res:-59.705768}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:209}
{txt}{col 57}{lalign 13:LR chi2({res:10})}{col 70} = {res}{ralign 6:84.67}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-59.705768}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.4149}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         racism{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}race1 {c |}
{space 9}Asian  {c |}{col 17}{res}{space 2} 4.490903{col 29}{space 2} .8070597{col 40}{space 1}    5.56{col 49}{space 3}0.000{col 57}{space 4} 2.909095{col 70}{space 3} 6.072711
{txt}{space 9}Black  {c |}{col 17}{res}{space 2} 5.139651{col 29}{space 2} 1.278296{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4} 2.634238{col 70}{space 3} 7.645064
{txt}{space 8}Latinx  {c |}{col 17}{res}{space 2} 3.114701{col 29}{space 2} .8075067{col 40}{space 1}    3.86{col 49}{space 3}0.000{col 57}{space 4} 1.532017{col 70}{space 3} 4.697385
{txt}Middle Eastern  {c |}{col 17}{res}{space 2} 5.070493{col 29}{space 2} 1.027164{col 40}{space 1}    4.94{col 49}{space 3}0.000{col 57}{space 4} 3.057288{col 70}{space 3} 7.083698
{txt}{space 9}Other  {c |}{col 17}{res}{space 2} 3.443581{col 29}{space 2} .9241677{col 40}{space 1}    3.73{col 49}{space 3}0.000{col 57}{space 4} 1.632246{col 70}{space 3} 5.254917
{txt}{space 15} {c |}
{space 8}gender1 {c |}
{space 9}trans  {c |}{col 17}{res}{space 2}  .013435{col 29}{space 2} 1.116389{col 40}{space 1}    0.01{col 49}{space 3}0.990{col 57}{space 4}-2.174647{col 70}{space 3} 2.201517
{txt}{space 9}woman  {c |}{col 17}{res}{space 2} .4310026{col 29}{space 2} .5255541{col 40}{space 1}    0.82{col 49}{space 3}0.412{col 57}{space 4}-.5990644{col 70}{space 3}  1.46107
{txt}{space 15} {c |}
{space 3}exploitation {c |}
{space 11}Yes  {c |}{col 17}{res}{space 2} 1.595149{col 29}{space 2} .6045665{col 40}{space 1}    2.64{col 49}{space 3}0.008{col 57}{space 4} .4102207{col 70}{space 3} 2.780078
{txt}{space 15} {c |}
{space 6}sexharass {c |}
{space 11}Yes  {c |}{col 17}{res}{space 2} .8555349{col 29}{space 2} .7626831{col 40}{space 1}    1.12{col 49}{space 3}0.262{col 57}{space 4}-.6392964{col 70}{space 3} 2.350366
{txt}{space 15} {c |}
{space 2}international {c |}
{space 11}Yes  {c |}{col 17}{res}{space 2}-.7569342{col 29}{space 2} .5663658{col 40}{space 1}   -1.34{col 49}{space 3}0.181{col 57}{space 4}-1.866991{col 70}{space 3} .3531225
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 4.405717{col 29}{space 2} .7426416{col 57}{space 4} 2.950167{col 70}{space 3} 5.861268
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Exploitation
. *Model 11: money, status, and other forms harassment are significant
. ologit exploitation i.money rank i.status i.gender1 ib6.race1 i.sexharass i.racism

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-104.63582}  
Iteration 1:{space 3}log likelihood = {res:-83.539888}  
Iteration 2:{space 3}log likelihood = {res:-80.538141}  
Iteration 3:{space 3}log likelihood = {res:-80.278401}  
Iteration 4:{space 3}log likelihood = {res:-80.231987}  
Iteration 5:{space 3}log likelihood = {res:-80.221773}  
Iteration 6:{space 3}log likelihood = {res:-80.219313}  
Iteration 7:{space 3}log likelihood = {res:-80.218798}  
Iteration 8:{space 3}log likelihood = {res: -80.21869}  
Iteration 9:{space 3}log likelihood = {res:-80.218665}  
Iteration 10:{space 2}log likelihood = {res:-80.218659}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:208}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:48.83}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-80.218659}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2334}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   exploitation{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}money {c |}
{space 9}Never  {c |}{col 17}{res}{space 2} 2.771595{col 29}{space 2} .8505728{col 40}{space 1}    3.26{col 49}{space 3}0.001{col 57}{space 4} 1.104503{col 70}{space 3} 4.438687
{txt}{space 8}Rarely  {c |}{col 17}{res}{space 2} 2.371958{col 29}{space 2} .8421151{col 40}{space 1}    2.82{col 49}{space 3}0.005{col 57}{space 4} .7214428{col 70}{space 3} 4.022473
{txt}{space 5}Sometimes  {c |}{col 17}{res}{space 2} 1.345677{col 29}{space 2} .6350697{col 40}{space 1}    2.12{col 49}{space 3}0.034{col 57}{space 4} .1009629{col 70}{space 3}  2.59039
{txt}{space 7}Usually  {c |}{col 17}{res}{space 2} .9113838{col 29}{space 2} .5412038{col 40}{space 1}    1.68{col 49}{space 3}0.092{col 57}{space 4}-.1493562{col 70}{space 3} 1.972124
{txt}{space 15} {c |}
{space 11}rank {c |}{col 17}{res}{space 2}  .012888{col 29}{space 2} .0127659{col 40}{space 1}    1.01{col 49}{space 3}0.313{col 57}{space 4}-.0121327{col 70}{space 3} .0379087
{txt}{space 15} {c |}
{space 9}status {c |}
{space 3}PhD student  {c |}{col 17}{res}{space 2}-1.180145{col 29}{space 2} .4693454{col 40}{space 1}   -2.51{col 49}{space 3}0.012{col 57}{space 4}-2.100045{col 70}{space 3}-.2602447
{txt}{space 15} {c |}
{space 8}gender1 {c |}
{space 9}trans  {c |}{col 17}{res}{space 2} .6554195{col 29}{space 2} .7887763{col 40}{space 1}    0.83{col 49}{space 3}0.406{col 57}{space 4}-.8905537{col 70}{space 3} 2.201393
{txt}{space 9}woman  {c |}{col 17}{res}{space 2} .0783881{col 29}{space 2} .4640769{col 40}{space 1}    0.17{col 49}{space 3}0.866{col 57}{space 4} -.831186{col 70}{space 3} .9879622
{txt}{space 15} {c |}
{space 10}race1 {c |}
{space 9}Asian  {c |}{col 17}{res}{space 2}-1.499944{col 29}{space 2}  .785593{col 40}{space 1}   -1.91{col 49}{space 3}0.056{col 57}{space 4}-3.039678{col 70}{space 3} .0397901
{txt}{space 9}Black  {c |}{col 17}{res}{space 2} .3943484{col 29}{space 2}  1.14052{col 40}{space 1}    0.35{col 49}{space 3}0.730{col 57}{space 4}-1.841029{col 70}{space 3} 2.629726
{txt}{space 8}Latinx  {c |}{col 17}{res}{space 2}-1.327134{col 29}{space 2} .8167154{col 40}{space 1}   -1.62{col 49}{space 3}0.104{col 57}{space 4}-2.927867{col 70}{space 3} .2735986
{txt}Middle Eastern  {c |}{col 17}{res}{space 2}-16.60445{col 29}{space 2} 852.5255{col 40}{space 1}   -0.02{col 49}{space 3}0.984{col 57}{space 4}-1687.524{col 70}{space 3} 1654.315
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-.4999581{col 29}{space 2} .9230443{col 40}{space 1}   -0.54{col 49}{space 3}0.588{col 57}{space 4}-2.309092{col 70}{space 3} 1.309175
{txt}{space 15} {c |}
{space 6}sexharass {c |}
{space 11}Yes  {c |}{col 17}{res}{space 2} .8842998{col 29}{space 2} .6169855{col 40}{space 1}    1.43{col 49}{space 3}0.152{col 57}{space 4}-.3249695{col 70}{space 3} 2.093569
{txt}{space 15} {c |}
{space 9}racism {c |}
{space 11}Yes  {c |}{col 17}{res}{space 2} 1.780785{col 29}{space 2} .6564742{col 40}{space 1}    2.71{col 49}{space 3}0.007{col 57}{space 4} .4941191{col 70}{space 3} 3.067451
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 2.347396{col 29}{space 2} .5362913{col 57}{space 4} 1.296284{col 70}{space 3} 3.398508
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 8 observations completely determined.{txt} Standard errors questionable.{p_end}

{com}. 
. *Funding
. ologit money1 i.public i.status i.gender1 ib6.race1  ib5.source

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-332.93645}  
Iteration 1:{space 3}log likelihood = {res:-302.86799}  
Iteration 2:{space 3}log likelihood = {res:-299.10293}  
Iteration 3:{space 3}log likelihood = {res:-298.84624}  
Iteration 4:{space 3}log likelihood = {res:-298.84593}  
Iteration 5:{space 3}log likelihood = {res:-298.84593}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:245}
{txt}{col 57}{lalign 13:LR chi2({res:13})}{col 70} = {res}{ralign 6:68.18}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-298.84593}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1024}

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 money1{col 25}{c |} Coefficient{col 37}  Std. err.{col 49}      z{col 57}   P>|z|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.public {c |}{col 25}{res}{space 2}-1.229346{col 37}{space 2} .2760746{col 48}{space 1}   -4.45{col 57}{space 3}0.000{col 65}{space 4}-1.770443{col 78}{space 3}-.6882501
{txt}{space 23} {c |}
{space 17}status {c |}
{space 11}PhD student  {c |}{col 25}{res}{space 2}   .05702{col 37}{space 2} .2505588{col 48}{space 1}    0.23{col 57}{space 3}0.820{col 65}{space 4}-.4340662{col 78}{space 3} .5481061
{txt}{space 23} {c |}
{space 16}gender1 {c |}
{space 17}trans  {c |}{col 25}{res}{space 2}-1.004403{col 37}{space 2} .5441867{col 48}{space 1}   -1.85{col 57}{space 3}0.065{col 65}{space 4} -2.07099{col 78}{space 3}  .062183
{txt}{space 17}woman  {c |}{col 25}{res}{space 2}-.5793223{col 37}{space 2} .2657818{col 48}{space 1}   -2.18{col 57}{space 3}0.029{col 65}{space 4}-1.100245{col 78}{space 3}-.0583996
{txt}{space 23} {c |}
{space 18}race1 {c |}
{space 17}Asian  {c |}{col 25}{res}{space 2}-.5653253{col 37}{space 2} .3573641{col 48}{space 1}   -1.58{col 57}{space 3}0.114{col 65}{space 4}-1.265746{col 78}{space 3} .1350955
{txt}{space 17}Black  {c |}{col 25}{res}{space 2}-1.251162{col 37}{space 2} .6716865{col 48}{space 1}   -1.86{col 57}{space 3}0.063{col 65}{space 4}-2.567644{col 78}{space 3} .0653192
{txt}{space 16}Latinx  {c |}{col 25}{res}{space 2} .1857953{col 37}{space 2} .4200525{col 48}{space 1}    0.44{col 57}{space 3}0.658{col 65}{space 4}-.6374925{col 78}{space 3} 1.009083
{txt}{space 8}Middle Eastern  {c |}{col 25}{res}{space 2}-.9955561{col 37}{space 2} .6339304{col 48}{space 1}   -1.57{col 57}{space 3}0.116{col 65}{space 4}-2.238037{col 78}{space 3} .2469247
{txt}{space 17}Other  {c |}{col 25}{res}{space 2} .1914466{col 37}{space 2} .4999321{col 48}{space 1}    0.38{col 57}{space 3}0.702{col 65}{space 4}-.7884023{col 78}{space 3} 1.171296
{txt}{space 23} {c |}
{space 17}source {c |}
Fellowship/scholarship  {c |}{col 25}{res}{space 2} .6162212{col 37}{space 2}  .288612{col 48}{space 1}    2.14{col 57}{space 3}0.033{col 65}{space 4}  .050552{col 78}{space 3}  1.18189
{txt}{space 17}Loans  {c |}{col 25}{res}{space 2}-22.28646{col 37}{space 2} 22318.83{col 48}{space 1}   -0.00{col 57}{space 3}0.999{col 65}{space 4} -43766.4{col 78}{space 3} 43721.82
{txt}{space 17}Other  {c |}{col 25}{res}{space 2} -2.71955{col 37}{space 2} .8641366{col 48}{space 1}   -3.15{col 57}{space 3}0.002{col 65}{space 4}-4.413227{col 78}{space 3}-1.025874
{txt}{space 4}Research Assistant  {c |}{col 25}{res}{space 2} .0236497{col 37}{space 2} .4310517{col 48}{space 1}    0.05{col 57}{space 3}0.956{col 65}{space 4} -.821196{col 78}{space 3} .8684955
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/cut1 {c |}{col 25}{res}{space 2}-4.011735{col 37}{space 2} .4598545{col 65}{space 4}-4.913034{col 78}{space 3}-3.110437
{txt}{space 18}/cut2 {c |}{col 25}{res}{space 2}-3.113262{col 37}{space 2}  .405758{col 65}{space 4}-3.908533{col 78}{space 3}-2.317991
{txt}{space 18}/cut3 {c |}{col 25}{res}{space 2} -1.97448{col 37}{space 2} .3701552{col 65}{space 4}-2.699971{col 78}{space 3}-1.248989
{txt}{space 18}/cut4 {c |}{col 25}{res}{space 2}-.3874764{col 37}{space 2} .3473851{col 65}{space 4}-1.068339{col 78}{space 3} .2933859
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 observation completely determined.{txt} Standard errors questionable.{p_end}

{com}. 
. ***Experiment***
. *In the experiment variable, 1 is the neutral prime, 2 is the sexual harassment prime, and 3 is the racism prime 
. 
. *Reporting is less likely after racism condition than neutral condition at the p < .1 level (p=.08), reporting sexual harassment not significant
. oneway ReportMisconduct experiment, tabulate

            {txt}{c |}     Summary of ReportMisconduct
 experiment {c |}        Mean   Std. dev.       Freq.
{hline 12}{c +}{hline 36}
          1 {c |}  {res} 7.6285714   2.5376666          70
  {txt}        2 {c |}  {res} 7.1408451   2.3742414          71
  {txt}        3 {c |}  {res} 6.6666667   2.6215547          69
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res}  7.147619    2.530601         210

                        {txt}Analysis of variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 32.1560698      2   16.0780349      2.55     0.0807
{txt} Within groups     {res} 1306.26774    207   6.31047217
{txt}{hline 72}
    Total          {res} 1338.42381    209   6.40394167

{txt}Bartlett's equal-variances test: chi2({res}2{txt}) = {res}  0.6940{txt}    Prob>chi2 = {res}0.707
{txt}
{com}. pwmean ReportMisconduct, over(experiment) mcompare(tukey) effects

{txt}Pairwise comparisons of means with equal variances

{txt}{p2colset 1 7 7 2}{...}
{p2col:Over:}{res:experiment}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 13}
{col 14}{c |}    Number of
{col 14}{c |}  comparisons
{hline 13}{c +}{hline 13}
{space 2}experiment {c |}{col 14}{res}{space 1}           3
{txt}{hline 13}{c BT}{hline 13}

{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 37}        T{col 46}ukey{col 54}            T{col 67}ukey
{col 1}ReportMisc~t{col 14}{c |}   Contrast{col 26}   Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}experiment {c |}
{space 5}2 vs 1  {c |}{col 14}{res}{space 2}-.4877264{col 26}{space 2} .4231188{col 37}{space 1}   -1.15{col 46}{space 3}0.483{col 54}{space 4}-1.486582{col 67}{space 3} .5111288
{txt}{space 5}3 vs 1  {c |}{col 14}{res}{space 2}-.9619048{col 26}{space 2} .4261522{col 37}{space 1}   -2.26{col 46}{space 3}0.064{col 54}{space 4}-1.967921{col 67}{space 3} .0441115
{txt}{space 5}3 vs 2  {c |}{col 14}{res}{space 2}-.4741784{col 26}{space 2} .4246599{col 37}{space 1}   -1.12{col 46}{space 3}0.505{col 54}{space 4}-1.476672{col 67}{space 3} .5283148
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
{txt}end of do-file

{com}. log close
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  {txt}log type:  {res}smcl
 {txt}closed on:  {res}14 Mar 2023, 09:38:08
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